Supplementary stats for restaurant cheating project

Main Effect

• Tipping OLS

summary(peer_ols_effect_AvgTip_lag_withmanager_update)

Call:
   felm(formula = focalAvgTip ~ avg_peerAvgTip | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      0 | store_date, data = peer_effect_with_manager_update) 

Residuals:
    Min      1Q  Median      3Q     Max 
-2401.8    -1.1    -0.1     0.8 10547.9 

Coefficients:
               Estimate Cluster s.e. t value Pr(>|t|)
avg_peerAvgTip 0.008117     0.032744   0.248    0.804

Residual standard error: 17.39 on 3831271 degrees of freedom
Multiple R-squared(full model): 0.1899   Adjusted R-squared: 0.1418 
Multiple R-squared(proj model): 1.245e-05   Adjusted R-squared: -0.05937 
F-statistic(full model, *iid*):3.947 on 227511 and 3831271 DF, p-value: < 2.2e-16 
F-statistic(proj model): 0.06145 on 1 and 646663 DF, p-value: 0.8042 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Tipping IV 1st stage

summary(peer_iv_effect_AvgTip_lag_withmanager_update$stage1)

Call:
   NULL 

Residuals:
   Min     1Q Median     3Q    Max 
-429.2   -0.6    0.0    0.4 5312.4 

Coefficients:
                   Estimate Cluster s.e. t value Pr(>|t|)    
avg_lag_peerAvgTip   0.8159       0.1215   6.718 1.85e-11 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 7.418 on 3831271 degrees of freedom
Multiple R-squared(full model): 0.4535   Adjusted R-squared: 0.4211 
Multiple R-squared(proj model): 0.03661   Adjusted R-squared: -0.0206 
F-statistic(full model, *iid*):13.98 on 227511 and 3831271 DF, p-value: < 2.2e-16 
F-statistic(proj model): 45.13 on 1 and 646663 DF, p-value: 1.848e-11 
F-statistic(excl instr.):45.13 on 1 and 646663 DF, p-value: 1.848e-11 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Tipping IV 2nd stage

summary(peer_iv_effect_AvgTip_lag_withmanager_update)

Call:
   felm(formula = focalAvgTip ~ 1 | factor(focalemployee) + factor(storekey) *      factor(week) + factor(storekey) * factor(weekday) + factor(storekey) *      factor(year) + factor(is_guard) + factor(managerkey1) | (avg_peerAvgTip ~      avg_lag_peerAvgTip) | store_date, data = peer_effect_with_manager_update) 

Residuals:
    Min      1Q  Median      3Q     Max 
-2402.6    -1.1    -0.1     0.8 10554.2 

Coefficients:
                      Estimate Cluster s.e. t value Pr(>|t|)
`avg_peerAvgTip(fit)`  0.11863      0.08785    1.35    0.177

Residual standard error: 17.41 on 3831271 degrees of freedom
Multiple R-squared(full model): 0.188   Adjusted R-squared: 0.1398 
Multiple R-squared(proj model): -0.002296   Adjusted R-squared: -0.06181 
F-statistic(full model, *iid*):3.939 on 227511 and 3831271 DF, p-value: < 2.2e-16 
F-statistic(proj model): 1.823 on 1 and 646663 DF, p-value: 0.1769 
F-statistic(endog. vars):1.823 on 1 and 646663 DF, p-value: 0.1769 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Stealcnt OLS

summary(peer_ols_effect_stealcnt_lag_withmanager_update)

Call:
   felm(formula = log(focalTotalStealCnt + 1) ~ log(avg_peerTotalStealCnt +      1) | factor(focalemployee) + factor(storekey) * factor(week) +      factor(storekey) * factor(weekday) + factor(storekey) * factor(year) +      factor(is_guard) + factor(managerkey1) | 0 | store_date,      data = peer_effect_with_manager_update) 

Residuals:
    Min      1Q  Median      3Q     Max 
-2.1049 -0.0388 -0.0093  0.0036  5.0610 

Coefficients:
                                Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_peerTotalStealCnt + 1) -0.011047     0.001888  -5.851 4.88e-09 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.1815 on 3831271 degrees of freedom
Multiple R-squared(full model): 0.1265   Adjusted R-squared: 0.07459 
Multiple R-squared(proj model): 7.74e-05   Adjusted R-squared: -0.0593 
F-statistic(full model, *iid*):2.438 on 227511 and 3831271 DF, p-value: < 2.2e-16 
F-statistic(proj model): 34.24 on 1 and 646663 DF, p-value: 4.878e-09 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Stealcnt IV 1st stage

summary(peer_iv_effect_stealcnt_lag_withmanager_update$stage1)

Call:
   NULL 

Residuals:
    Min      1Q  Median      3Q     Max 
-1.9040 -0.0478 -0.0121  0.0079  4.9595 

Coefficients:
                                   Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_lag_peerTotalStealCnt + 1) 0.229872     0.006212   37.01   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.1438 on 3831271 degrees of freedom
Multiple R-squared(full model): 0.2605   Adjusted R-squared: 0.2166 
Multiple R-squared(proj model): 0.009779   Adjusted R-squared: -0.04902 
F-statistic(full model, *iid*):5.931 on 227511 and 3831271 DF, p-value: < 2.2e-16 
F-statistic(proj model):  1369 on 1 and 646663 DF, p-value: < 2.2e-16 
F-statistic(excl instr.): 1369 on 1 and 646663 DF, p-value: < 2.2e-16 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Stealcnt IV 2nd stage

summary(peer_iv_effect_stealcnt_lag_withmanager_update)

Call:
   felm(formula = log(focalTotalStealCnt + 1) ~ 1 | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      (log(avg_peerTotalStealCnt + 1) ~ log(avg_lag_peerTotalStealCnt +          1)) | store_date, data = peer_effect_with_manager_update) 

Residuals:
    Min      1Q  Median      3Q     Max 
-2.1133 -0.0386 -0.0090  0.0037  5.0784 

Coefficients:
                                      Estimate Cluster s.e. t value Pr(>|t|)  
`log(avg_peerTotalStealCnt + 1)(fit)`  0.04006      0.01581   2.533   0.0113 *
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.1816 on 3831271 degrees of freedom
Multiple R-squared(full model): 0.125   Adjusted R-squared: 0.07306 
Multiple R-squared(proj model): -0.001579   Adjusted R-squared: -0.06106 
F-statistic(full model, *iid*):2.433 on 227511 and 3831271 DF, p-value: < 2.2e-16 
F-statistic(proj model): 6.418 on 1 and 646663 DF, p-value: 0.0113 
F-statistic(endog. vars):6.418 on 1 and 646663 DF, p-value: 0.0113 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Stealamount OLS

summary(peer_ols_effect_stealamt_lag_withmanager_update)

Call:
   felm(formula = log(focalTotalStealAmount + 1) ~ log(avg_peerTotalStealAmount +      1) | factor(focalemployee) + factor(storekey) * factor(week) +      factor(storekey) * factor(weekday) + factor(storekey) * factor(year) +      factor(is_guard) + factor(managerkey1) | 0 | store_date,      data = peer_effect_with_manager_update) 

Residuals:
    Min      1Q  Median      3Q     Max 
-5.2816 -0.1201 -0.0446  0.0036  8.2170 

Coefficients:
                                   Estimate Cluster s.e. t value Pr(>|t|)
log(avg_peerTotalStealAmount + 1) 0.0007036    0.0010127   0.695    0.487

Residual standard error: 0.4972 on 3831271 degrees of freedom
Multiple R-squared(full model): 0.2406   Adjusted R-squared: 0.1956 
Multiple R-squared(proj model): 5.707e-07   Adjusted R-squared: -0.05938 
F-statistic(full model, *iid*):5.337 on 227511 and 3831271 DF, p-value: < 2.2e-16 
F-statistic(proj model): 0.4827 on 1 and 646663 DF, p-value: 0.4872 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Stealamount IV 1st stage

summary(peer_iv_effect_stealamt_lag_withmanager_update$stage1)

Call:
   NULL 

Residuals:
    Min      1Q  Median      3Q     Max 
-4.5174 -0.2191 -0.0697  0.0563  7.0549 

Coefficients:
                                      Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_lag_peerTotalStealAmount + 1) 0.387093     0.003241   119.4   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.5188 on 3831271 degrees of freedom
Multiple R-squared(full model): 0.4223   Adjusted R-squared: 0.388 
Multiple R-squared(proj model): 0.05544   Adjusted R-squared: -0.0006467 
F-statistic(full model, *iid*):12.31 on 227511 and 3831271 DF, p-value: < 2.2e-16 
F-statistic(proj model): 1.426e+04 on 1 and 646663 DF, p-value: < 2.2e-16 
F-statistic(excl instr.):1.426e+04 on 1 and 646663 DF, p-value: < 2.2e-16 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Stealamount IV 2nd stage

summary(peer_iv_effect_stealamt_lag_withmanager_update)

Call:
   felm(formula = log(focalTotalStealAmount + 1) ~ 1 | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      (log(avg_peerTotalStealAmount + 1) ~ log(avg_lag_peerTotalStealAmount +          1)) | store_date, data = peer_effect_with_manager_update) 

Residuals:
    Min      1Q  Median      3Q     Max 
-5.2591 -0.1205 -0.0441  0.0043  8.2418 

Coefficients:
                                         Estimate Cluster s.e. t value Pr(>|t|)    
`log(avg_peerTotalStealAmount + 1)(fit)` 0.027215     0.003707   7.341 2.12e-13 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.4974 on 3831271 degrees of freedom
Multiple R-squared(full model):  0.24   Adjusted R-squared: 0.1949 
Multiple R-squared(proj model): -0.0008097   Adjusted R-squared: -0.06024 
F-statistic(full model, *iid*):5.333 on 227511 and 3831271 DF, p-value: < 2.2e-16 
F-statistic(proj model): 53.89 on 1 and 646663 DF, p-value: 2.123e-13 
F-statistic(endog. vars):53.89 on 1 and 646663 DF, p-value: 2.123e-13 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Revenue OLS

summary(peer_ols_effect_AvgRev_lag_withmanager_update)

Call:
   felm(formula = focalAvgRev ~ avg_peerAvgRev | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      0 | store_date, data = peer_effect_with_manager_update) 

Residuals:
   Min     1Q Median     3Q    Max 
-11210     -7     -1      5 124340 

Coefficients:
               Estimate Cluster s.e. t value Pr(>|t|)
avg_peerAvgRev  0.04844      0.05151    0.94    0.347

Residual standard error: 196.4 on 3831271 degrees of freedom
Multiple R-squared(full model): 0.2066   Adjusted R-squared: 0.1595 
Multiple R-squared(proj model): 0.0003772   Adjusted R-squared: -0.05898 
F-statistic(full model, *iid*):4.385 on 227511 and 3831271 DF, p-value: < 2.2e-16 
F-statistic(proj model): 0.8842 on 1 and 646663 DF, p-value: 0.347 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Revenue IV 1st stage

summary(peer_iv_effect_AvgRev_lag_withmanager_update$stage1)

Call:
   NULL 

Residuals:
    Min      1Q  Median      3Q     Max 
-4872.4    -4.3    -0.5     3.0 30702.2 

Coefficients:
                   Estimate Cluster s.e. t value Pr(>|t|)    
avg_lag_peerAvgRev   0.8089       0.1048   7.721 1.15e-14 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 76.5 on 3834623 degrees of freedom
Multiple R-squared(full model): 0.5185   Adjusted R-squared: 0.4904 
Multiple R-squared(proj model): 0.0563   Adjusted R-squared: 0.001132 
F-statistic(full model, *iid*):18.42 on 224159 and 3834623 DF, p-value: < 2.2e-16 
F-statistic(proj model): 59.62 on 1 and 646663 DF, p-value: 1.154e-14 
F-statistic(excl instr.):59.62 on 1 and 646663 DF, p-value: 1.154e-14 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Revenue IV 2nd stage

summary(peer_iv_effect_AvgRev_lag_withmanager_update)

Call:
   felm(formula = focalAvgRev ~ 1 | factor(focalemployee) + factor(storekey) *      factor(week) + factor(storekey) * factor(weekday) + factor(year) +      factor(is_guard) + factor(managerkey1) | (avg_peerAvgRev ~      avg_lag_peerAvgRev) | store_date, data = peer_effect_with_manager_update) 

Residuals:
   Min     1Q Median     3Q    Max 
-11226     -7     -1      5 124298 

Coefficients:
                      Estimate Cluster s.e. t value Pr(>|t|)
`avg_peerAvgRev(fit)`  0.05975      0.05873   1.017    0.309

Residual standard error: 196.3 on 3834623 degrees of freedom
Multiple R-squared(full model): 0.2064   Adjusted R-squared:  0.16 
Multiple R-squared(proj model): 0.000358   Adjusted R-squared: -0.05808 
F-statistic(full model, *iid*):4.444 on 224159 and 3834623 DF, p-value: < 2.2e-16 
F-statistic(proj model): 1.035 on 1 and 646663 DF, p-value: 0.3089 
F-statistic(endog. vars):1.035 on 1 and 646663 DF, p-value: 0.3089 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Drink OLS

summary(peer_ols_effect_DrxSl_lag_withmanager_update)

Call:
   felm(formula = focalDrxSl ~ avg_peerDrxSl | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      0 | store_date, data = peer_effect_with_manager_update) 

Residuals:
   Min     1Q Median     3Q    Max 
 -9270    -47     -7     36  34017 

Coefficients:
              Estimate Cluster s.e. t value Pr(>|t|)    
avg_peerDrxSl  0.20221      0.02001   10.11   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 140.9 on 3652649 degrees of freedom
  (183794 observations deleted due to missingness)
Multiple R-squared(full model): 0.5584   Adjusted R-squared: 0.5315 
Multiple R-squared(proj model): 0.01222   Adjusted R-squared: -0.04791 
F-statistic(full model, *iid*):20.77 on 222339 and 3652649 DF, p-value: < 2.2e-16 
F-statistic(proj model): 102.1 on 1 and 619053 DF, p-value: < 2.2e-16 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Drink IV 1st stage

summary(peer_iv_effect_DrxSl_lag_withmanager_update$stage1)

Call:
   NULL 

Residuals:
   Min     1Q Median     3Q    Max 
 -2752    -30     -3     26  36820 

Coefficients:
                  Estimate Cluster s.e. t value Pr(>|t|)    
avg_lag_peerDrxSl   1.7784       0.1062   16.74   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 75.2 on 3551741 degrees of freedom
  (289205 observations deleted due to missingness)
Multiple R-squared(full model): 0.7709   Adjusted R-squared: 0.7569 
Multiple R-squared(proj model): 0.02987   Adjusted R-squared: -0.02963 
F-statistic(full model, *iid*):54.87 on 217836 and 3551741 DF, p-value: < 2.2e-16 
F-statistic(proj model): 280.4 on 1 and 607585 DF, p-value: < 2.2e-16 
F-statistic(excl instr.):280.4 on 1 and 607585 DF, p-value: < 2.2e-16 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Drink IV 2nd stage

summary(peer_iv_effect_DrxSl_lag_withmanager_update)

Call:
   felm(formula = focalDrxSl ~ 1 | factor(focalemployee) + factor(storekey) *      factor(week) + factor(storekey) * factor(weekday) + factor(year) +      factor(is_guard) + factor(managerkey1) | (avg_peerDrxSl ~      avg_lag_peerDrxSl) | store_date, data = peer_effect_with_manager_update) 

Residuals:
   Min     1Q Median     3Q    Max 
 -8988    -47     -7     36  34010 

Coefficients:
                     Estimate Cluster s.e. t value Pr(>|t|)    
`avg_peerDrxSl(fit)`  0.19449      0.04631     4.2 2.67e-05 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 140.9 on 3551741 degrees of freedom
  (289205 observations deleted due to missingness)
Multiple R-squared(full model): 0.5567   Adjusted R-squared: 0.5295 
Multiple R-squared(proj model): 0.0133   Adjusted R-squared: -0.04722 
F-statistic(full model, *iid*):20.26 on 217836 and 3551741 DF, p-value: < 2.2e-16 
F-statistic(proj model): 17.64 on 1 and 607585 DF, p-value: 2.671e-05 
F-statistic(endog. vars):17.64 on 1 and 607585 DF, p-value: 2.671e-05 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Add-on OLS

summary(peer_ols_effect_AddSl_lag_withmanager_update)

Call:
   felm(formula = focalAddSl ~ avg_peerAddSl | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      0 | store_date, data = peer_effect_with_manager_update) 

Residuals:
     Min       1Q   Median       3Q      Max 
-14743.4    -28.2     -3.1     21.4  14743.4 

Coefficients:
              Estimate Cluster s.e. t value Pr(>|t|)    
avg_peerAddSl  0.20491      0.00503   40.74   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 84.97 on 3652649 degrees of freedom
  (183794 observations deleted due to missingness)
Multiple R-squared(full model): 0.6525   Adjusted R-squared: 0.6314 
Multiple R-squared(proj model): 0.01794   Adjusted R-squared: -0.04183 
F-statistic(full model, *iid*):30.85 on 222339 and 3652649 DF, p-value: < 2.2e-16 
F-statistic(proj model):  1660 on 1 and 619053 DF, p-value: < 2.2e-16 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Add-on IV 1st stage

summary(peer_iv_effect_AddSl_lag_withmanager_update$stage1)

Call:
   NULL 

Residuals:
    Min      1Q  Median      3Q     Max 
-3138.0   -19.1    -1.2    15.5  9207.5 

Coefficients:
                  Estimate Cluster s.e. t value Pr(>|t|)    
avg_lag_peerAddSl   1.3597       0.1105    12.3   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 56.13 on 3551741 degrees of freedom
  (289205 observations deleted due to missingness)
Multiple R-squared(full model): 0.7807   Adjusted R-squared: 0.7672 
Multiple R-squared(proj model): 0.0154   Adjusted R-squared: -0.04499 
F-statistic(full model, *iid*):58.04 on 217836 and 3551741 DF, p-value: < 2.2e-16 
F-statistic(proj model): 151.3 on 1 and 607585 DF, p-value: < 2.2e-16 
F-statistic(excl instr.):151.3 on 1 and 607585 DF, p-value: < 2.2e-16 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Add-on IV 2nd stage

summary(peer_iv_effect_AddSl_lag_withmanager_update)

Call:
   felm(formula = focalAddSl ~ 1 | factor(focalemployee) + factor(storekey) *      factor(week) + factor(storekey) * factor(weekday) + factor(year) +      factor(is_guard) + factor(managerkey1) | (avg_peerAddSl ~      avg_lag_peerAddSl) | store_date, data = peer_effect_with_manager_update) 

Residuals:
     Min       1Q   Median       3Q      Max 
-14709.0    -29.5     -3.3     22.1  14709.0 

Coefficients:
                     Estimate Cluster s.e. t value Pr(>|t|)    
`avg_peerAddSl(fit)`  0.16901      0.02994   5.646 1.65e-08 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 86.01 on 3551741 degrees of freedom
  (289205 observations deleted due to missingness)
Multiple R-squared(full model): 0.6478   Adjusted R-squared: 0.6262 
Multiple R-squared(proj model): 0.02005   Adjusted R-squared: -0.04005 
F-statistic(full model, *iid*):29.66 on 217836 and 3551741 DF, p-value: < 2.2e-16 
F-statistic(proj model): 31.87 on 1 and 607585 DF, p-value: 1.647e-08 
F-statistic(endog. vars):31.87 on 1 and 607585 DF, p-value: 1.647e-08 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

New Employees

30 Days Intervals

• Tipping

peer_iv_effect_AvgTip_lag_withmanager_update_firstM$N

[1] 985136

summary(peer_iv_effect_AvgTip_lag_withmanager_update_firstM$stage1)

Call:
   NULL 

Residuals:
    Min      1Q  Median      3Q     Max 
-436.78   -0.58   -0.02    0.50 1154.94 

Coefficients:
                   Estimate Cluster s.e. t value Pr(>|t|)    
avg_lag_peerAvgTip   1.0112       0.2975   3.399 0.000676 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 4.321 on 803028 degrees of freedom
Multiple R-squared(full model): 0.537   Adjusted R-squared: 0.432 
Multiple R-squared(proj model): 0.06815   Adjusted R-squared: -0.1432 
F-statistic(full model, *iid*):5.114 on 182107 and 803028 DF, p-value: < 2.2e-16 
F-statistic(proj model): 11.55 on 1 and 409386 DF, p-value: 0.000676 
F-statistic(excl instr.):11.55 on 1 and 409386 DF, p-value: 0.000676 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

summary(peer_iv_effect_AvgTip_lag_withmanager_update_firstM)

Call:
   felm(formula = focalAvgTip ~ 1 | factor(focalemployee) + factor(storekey) *      factor(week) + factor(storekey) * factor(weekday) + factor(storekey) *      factor(year) + factor(is_guard) + factor(managerkey1) | (avg_peerAvgTip ~      avg_lag_peerAvgTip) | store_date, data = peer_effect_with_manager_update_firstM) 

Residuals:
   Min     1Q Median     3Q    Max 
-689.7   -1.0   -0.1    0.8 4141.2 

Coefficients:
                      Estimate Cluster s.e. t value Pr(>|t|)
`avg_peerAvgTip(fit)`   0.1418       0.1029   1.377    0.168

Residual standard error: 7.196 on 803028 degrees of freedom
Multiple R-squared(full model): 0.5686   Adjusted R-squared: 0.4708 
Multiple R-squared(proj model): -0.01136   Adjusted R-squared: -0.2407 
F-statistic(full model, *iid*):5.864 on 182107 and 803028 DF, p-value: < 2.2e-16 
F-statistic(proj model): 1.897 on 1 and 409386 DF, p-value: 0.1684 
F-statistic(endog. vars):1.897 on 1 and 409386 DF, p-value: 0.1684 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

peer_iv_effect_AvgTip_lag_withmanager_update_secondM$N

[1] 569481

summary(peer_iv_effect_AvgTip_lag_withmanager_update_secondM$stage1)

Call:
   NULL 

Residuals:
    Min      1Q  Median      3Q     Max 
-361.24   -0.57   -0.02    0.48  795.69 

Coefficients:
                   Estimate Cluster s.e. t value Pr(>|t|)    
avg_lag_peerAvgTip  0.69781      0.07787   8.961   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 3.525 on 448742 degrees of freedom
Multiple R-squared(full model): 0.663   Adjusted R-squared: 0.5723 
Multiple R-squared(proj model): 0.04525   Adjusted R-squared: -0.2116 
F-statistic(full model, *iid*):7.312 on 120738 and 448742 DF, p-value: < 2.2e-16 
F-statistic(proj model):  80.3 on 1 and 305130 DF, p-value: < 2.2e-16 
F-statistic(excl instr.): 80.3 on 1 and 305130 DF, p-value: < 2.2e-16 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

summary(peer_iv_effect_AvgTip_lag_withmanager_update_secondM)

Call:
   felm(formula = focalAvgTip ~ 1 | factor(focalemployee) + factor(storekey) *      factor(week) + factor(storekey) * factor(weekday) + factor(storekey) *      factor(year) + factor(is_guard) + factor(managerkey1) | (avg_peerAvgTip ~      avg_lag_peerAvgTip) | store_date, data = peer_effect_with_manager_update_secondM) 

Residuals:
    Min      1Q  Median      3Q     Max 
-662.37   -1.00   -0.07    0.80 1203.20 

Coefficients:
                      Estimate Cluster s.e. t value Pr(>|t|)  
`avg_peerAvgTip(fit)`   0.3158       0.1549   2.039   0.0415 *
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 5.726 on 448742 degrees of freedom
Multiple R-squared(full model): 0.4626   Adjusted R-squared: 0.3179 
Multiple R-squared(proj model): -0.02983   Adjusted R-squared: -0.3069 
F-statistic(full model, *iid*):3.313 on 120738 and 448742 DF, p-value: < 2.2e-16 
F-statistic(proj model): 4.156 on 1 and 305130 DF, p-value: 0.04149 
F-statistic(endog. vars):4.156 on 1 and 305130 DF, p-value: 0.04149 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

peer_iv_effect_AvgTip_lag_withmanager_update_thirdM$N

[1] 365177

summary(peer_iv_effect_AvgTip_lag_withmanager_update_thirdM$stage1)

Call:
   NULL 

Residuals:
    Min      1Q  Median      3Q     Max 
-201.92   -0.55   -0.02    0.47  703.46 

Coefficients:
                   Estimate Cluster s.e. t value Pr(>|t|)    
avg_lag_peerAvgTip   0.6964       0.1516   4.595 4.33e-06 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 3.684 on 274080 degrees of freedom
Multiple R-squared(full model): 0.5357   Adjusted R-squared: 0.3814 
Multiple R-squared(proj model): 0.04909   Adjusted R-squared: -0.267 
F-statistic(full model, *iid*):3.472 on 91096 and 274080 DF, p-value: < 2.2e-16 
F-statistic(proj model): 21.11 on 1 and 226771 DF, p-value: 4.334e-06 
F-statistic(excl instr.):21.11 on 1 and 226771 DF, p-value: 4.334e-06 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

summary(peer_iv_effect_AvgTip_lag_withmanager_update_thirdM)

Call:
   felm(formula = focalAvgTip ~ 1 | factor(focalemployee) + factor(storekey) *      factor(week) + factor(storekey) * factor(weekday) + factor(storekey) *      factor(year) + factor(is_guard) + factor(managerkey1) | (avg_peerAvgTip ~      avg_lag_peerAvgTip) | store_date, data = peer_effect_with_manager_update_thirdM) 

Residuals:
    Min      1Q  Median      3Q     Max 
-212.08   -0.96   -0.07    0.76  638.26 

Coefficients:
                      Estimate Cluster s.e. t value Pr(>|t|)
`avg_peerAvgTip(fit)`  0.06780      0.08062   0.841      0.4

Residual standard error: 3.923 on 274080 degrees of freedom
Multiple R-squared(full model): 0.524   Adjusted R-squared: 0.3658 
Multiple R-squared(proj model): 0.000905   Adjusted R-squared: -0.3312 
F-statistic(full model, *iid*): 3.31 on 91096 and 274080 DF, p-value: < 2.2e-16 
F-statistic(proj model): 0.7073 on 1 and 226771 DF, p-value: 0.4003 
F-statistic(endog. vars):0.7073 on 1 and 226771 DF, p-value: 0.4003 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

peer_iv_effect_AvgTip_lag_withmanager_update_fourthM$N

[1] 247899

summary(peer_iv_effect_AvgTip_lag_withmanager_update_fourthM$stage1)

Call:
   NULL 

Residuals:
    Min      1Q  Median      3Q     Max 
-129.74   -0.54   -0.01    0.47  580.82 

Coefficients:
                   Estimate Cluster s.e. t value Pr(>|t|)  
avg_lag_peerAvgTip   0.3225       0.1487   2.169   0.0301 *
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 3.929 on 176850 degrees of freedom
Multiple R-squared(full model): 0.5246   Adjusted R-squared: 0.3335 
Multiple R-squared(proj model): 0.01496   Adjusted R-squared: -0.3808 
F-statistic(full model, *iid*):2.746 on 71048 and 176850 DF, p-value: < 2.2e-16 
F-statistic(proj model): 4.702 on 1 and 168481 DF, p-value: 0.03012 
F-statistic(excl instr.):4.702 on 1 and 168481 DF, p-value: 0.03012 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

summary(peer_iv_effect_AvgTip_lag_withmanager_update_fourthM)

Call:
   felm(formula = focalAvgTip ~ 1 | factor(focalemployee) + factor(storekey) *      factor(week) + factor(storekey) * factor(weekday) + factor(storekey) *      factor(year) + factor(is_guard) + factor(managerkey1) | (avg_peerAvgTip ~      avg_lag_peerAvgTip) | store_date, data = peer_effect_with_manager_update_fourthM) 

Residuals:
    Min      1Q  Median      3Q     Max 
-205.77   -0.95   -0.05    0.77  564.81 

Coefficients:
                      Estimate Cluster s.e. t value Pr(>|t|)
`avg_peerAvgTip(fit)`  -0.2713       0.2868  -0.946    0.344

Residual standard error: 3.727 on 176850 degrees of freedom
Multiple R-squared(full model): 0.5171   Adjusted R-squared: 0.3231 
Multiple R-squared(proj model): -0.0865   Adjusted R-squared: -0.523 
F-statistic(full model, *iid*):2.867 on 71048 and 176850 DF, p-value: < 2.2e-16 
F-statistic(proj model): 0.8945 on 1 and 168481 DF, p-value: 0.3443 
F-statistic(endog. vars):0.8945 on 1 and 168481 DF, p-value: 0.3443 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

peer_iv_effect_AvgTip_lag_withmanager_update_fifthM$N

[1] 169968

summary(peer_iv_effect_AvgTip_lag_withmanager_update_fifthM$stage1)

Call:
   NULL 

Residuals:
    Min      1Q  Median      3Q     Max 
-173.95   -0.52    0.00    0.46  763.28 

Coefficients:
                   Estimate Cluster s.e. t value Pr(>|t|)  
avg_lag_peerAvgTip   1.1230       0.5404   2.078   0.0377 *
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 4.839 on 115360 degrees of freedom
Multiple R-squared(full model): 0.4696   Adjusted R-squared: 0.2185 
Multiple R-squared(proj model): 0.07571   Adjusted R-squared: -0.3618 
F-statistic(full model, *iid*): 1.87 on 54607 and 115360 DF, p-value: < 2.2e-16 
F-statistic(proj model): 4.319 on 1 and 115360 DF, p-value: 0.03769 
F-statistic(excl instr.):4.319 on 1 and 115360 DF, p-value: 0.03769 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

summary(peer_iv_effect_AvgTip_lag_withmanager_update_fifthM)

Call:
   felm(formula = focalAvgTip ~ 1 | factor(focalemployee) + factor(storekey) *      factor(week) + factor(storekey) * factor(weekday) + factor(storekey) *      factor(year) + factor(is_guard) + factor(managerkey1) | (avg_peerAvgTip ~      avg_lag_peerAvgTip) | store_date, data = peer_effect_with_manager_update_fifthM) 

Residuals:
    Min      1Q  Median      3Q     Max 
-95.479  -0.905  -0.039   0.744 313.641 

Coefficients:
                      Estimate Cluster s.e. t value Pr(>|t|)
`avg_peerAvgTip(fit)`  0.06928      0.06540   1.059    0.289

Residual standard error: 3.166 on 115360 degrees of freedom
Multiple R-squared(full model): 0.5739   Adjusted R-squared: 0.3722 
Multiple R-squared(proj model): -0.01117   Adjusted R-squared: -0.4898 
F-statistic(full model, *iid*):2.871 on 54607 and 115360 DF, p-value: < 2.2e-16 
F-statistic(proj model): 1.122 on 1 and 115360 DF, p-value: 0.2894 
F-statistic(endog. vars):1.122 on 1 and 115360 DF, p-value: 0.2894 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

peer_iv_effect_AvgTip_lag_withmanager_update_sixthM$N

[1] 305492

summary(peer_iv_effect_AvgTip_lag_withmanager_update_sixthM$stage1)

Call:
   NULL 

Residuals:
   Min     1Q Median     3Q    Max 
-99.73  -0.52  -0.03   0.44 413.09 

Coefficients:
                   Estimate Cluster s.e. t value Pr(>|t|)    
avg_lag_peerAvgTip  0.56928      0.07984    7.13    1e-12 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 2.329 on 255526 degrees of freedom
Multiple R-squared(full model): 0.5293   Adjusted R-squared: 0.4373 
Multiple R-squared(proj model): 0.05601   Adjusted R-squared: -0.1286 
F-statistic(full model, *iid*):5.752 on 49965 and 255526 DF, p-value: < 2.2e-16 
F-statistic(proj model): 50.84 on 1 and 153827 DF, p-value: 1.006e-12 
F-statistic(excl instr.):50.84 on 1 and 153827 DF, p-value: 1.006e-12 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

summary(peer_iv_effect_AvgTip_lag_withmanager_update_sixthM)

Call:
   felm(formula = focalAvgTip ~ 1 | factor(focalemployee) + factor(storekey) *      factor(week) + factor(storekey) * factor(weekday) + factor(storekey) *      factor(year) + factor(is_guard) + factor(managerkey1) | (avg_peerAvgTip ~      avg_lag_peerAvgTip) | store_date, data = peer_effect_with_manager_update_sixthM) 

Residuals:
   Min     1Q Median     3Q    Max 
-52.06  -0.98  -0.10   0.75 606.40 

Coefficients:
                      Estimate Cluster s.e. t value Pr(>|t|)
`avg_peerAvgTip(fit)`  0.02577      0.03652   0.706     0.48

Residual standard error: 2.94 on 255526 degrees of freedom
Multiple R-squared(full model): 0.3841   Adjusted R-squared: 0.2636 
Multiple R-squared(proj model): -0.000578   Adjusted R-squared: -0.1962 
F-statistic(full model, *iid*):3.192 on 49965 and 255526 DF, p-value: < 2.2e-16 
F-statistic(proj model): 0.4982 on 1 and 153827 DF, p-value: 0.4803 
F-statistic(endog. vars):0.4982 on 1 and 153827 DF, p-value: 0.4803 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Stealcnt

peer_iv_effect_stealcnt_lag_withmanager_update_firstM$N

[1] 985136

summary(peer_iv_effect_stealcnt_lag_withmanager_update_firstM$stage1)

Call:
   NULL 

Residuals:
    Min      1Q  Median      3Q     Max 
-1.2997 -0.0461 -0.0080  0.0107  3.2628 

Coefficients:
                                   Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_lag_peerTotalStealCnt + 1) 0.206092     0.006423   32.09   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.152 on 803028 degrees of freedom
Multiple R-squared(full model): 0.2799   Adjusted R-squared: 0.1166 
Multiple R-squared(proj model): 0.006565   Adjusted R-squared: -0.2187 
F-statistic(full model, *iid*):1.714 on 182107 and 803028 DF, p-value: < 2.2e-16 
F-statistic(proj model):  1029 on 1 and 409386 DF, p-value: < 2.2e-16 
F-statistic(excl instr.): 1029 on 1 and 409386 DF, p-value: < 2.2e-16 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

summary(peer_iv_effect_stealcnt_lag_withmanager_update_firstM)

Call:
   felm(formula = log(focalTotalStealCnt + 1) ~ 1 | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      (log(avg_peerTotalStealCnt + 1) ~ log(avg_lag_peerTotalStealCnt +          1)) | store_date, data = peer_effect_with_manager_update_firstM) 

Residuals:
    Min      1Q  Median      3Q     Max 
-1.6054 -0.0357 -0.0023  0.0096  3.9598 

Coefficients:
                                      Estimate Cluster s.e. t value Pr(>|t|)    
`log(avg_peerTotalStealCnt + 1)(fit)`  0.12488      0.02436   5.127 2.95e-07 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.1789 on 803028 degrees of freedom
Multiple R-squared(full model): 0.1546   Adjusted R-squared: -0.0371 
Multiple R-squared(proj model): -0.01306   Adjusted R-squared: -0.2428 
F-statistic(full model, *iid*):0.8637 on 182107 and 803028 DF, p-value: 1 
F-statistic(proj model): 26.28 on 1 and 409386 DF, p-value: 2.952e-07 
F-statistic(endog. vars):26.28 on 1 and 409386 DF, p-value: 2.952e-07 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

peer_iv_effect_stealcnt_lag_withmanager_update_secondM$N

[1] 569481

summary(peer_iv_effect_stealcnt_lag_withmanager_update_secondM$stage1)

Call:
   NULL 

Residuals:
     Min       1Q   Median       3Q      Max 
-1.45762 -0.04530 -0.00680  0.01212  3.04419 

Coefficients:
                                   Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_lag_peerTotalStealCnt + 1)  0.19240      0.00791   24.32   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.1509 on 448742 degrees of freedom
Multiple R-squared(full model): 0.303   Adjusted R-squared: 0.1155 
Multiple R-squared(proj model): 0.005597   Adjusted R-squared: -0.262 
F-statistic(full model, *iid*):1.616 on 120738 and 448742 DF, p-value: < 2.2e-16 
F-statistic(proj model): 591.6 on 1 and 305130 DF, p-value: < 2.2e-16 
F-statistic(excl instr.):591.6 on 1 and 305130 DF, p-value: < 2.2e-16 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

summary(peer_iv_effect_stealcnt_lag_withmanager_update_secondM)

Call:
   felm(formula = log(focalTotalStealCnt + 1) ~ 1 | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      (log(avg_peerTotalStealCnt + 1) ~ log(avg_lag_peerTotalStealCnt +          1)) | store_date, data = peer_effect_with_manager_update_secondM) 

Residuals:
    Min      1Q  Median      3Q     Max 
-1.5870 -0.0360 -0.0018  0.0108  3.6379 

Coefficients:
                                      Estimate Cluster s.e. t value Pr(>|t|)   
`log(avg_peerTotalStealCnt + 1)(fit)`  0.10069      0.03385   2.974  0.00294 **
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.1841 on 448742 degrees of freedom
Multiple R-squared(full model): 0.1918   Adjusted R-squared: -0.0257 
Multiple R-squared(proj model): -0.008118   Adjusted R-squared: -0.2794 
F-statistic(full model, *iid*):0.9119 on 120738 and 448742 DF, p-value: 1 
F-statistic(proj model): 8.847 on 1 and 305130 DF, p-value: 0.002936 
F-statistic(endog. vars):8.847 on 1 and 305130 DF, p-value: 0.002936 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

peer_iv_effect_stealcnt_lag_withmanager_update_thirdM$N

[1] 365177

summary(peer_iv_effect_stealcnt_lag_withmanager_update_thirdM$stage1)

Call:
   NULL 

Residuals:
     Min       1Q   Median       3Q      Max 
-1.09285 -0.04500 -0.00566  0.01335  2.97475 

Coefficients:
                                   Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_lag_peerTotalStealCnt + 1)  0.17943      0.00959   18.71   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.1534 on 274080 degrees of freedom
Multiple R-squared(full model): 0.3267   Adjusted R-squared: 0.1029 
Multiple R-squared(proj model): 0.004799   Adjusted R-squared: -0.326 
F-statistic(full model, *iid*): 1.46 on 91096 and 274080 DF, p-value: < 2.2e-16 
F-statistic(proj model): 350.1 on 1 and 226771 DF, p-value: < 2.2e-16 
F-statistic(excl instr.):350.1 on 1 and 226771 DF, p-value: < 2.2e-16 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

summary(peer_iv_effect_stealcnt_lag_withmanager_update_thirdM)

Call:
   felm(formula = log(focalTotalStealCnt + 1) ~ 1 | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      (log(avg_peerTotalStealCnt + 1) ~ log(avg_lag_peerTotalStealCnt +          1)) | store_date, data = peer_effect_with_manager_update_thirdM) 

Residuals:
    Min      1Q  Median      3Q     Max 
-1.4152 -0.0374 -0.0012  0.0129  4.4932 

Coefficients:
                                      Estimate Cluster s.e. t value Pr(>|t|)  
`log(avg_peerTotalStealCnt + 1)(fit)`   0.1220       0.0506   2.411   0.0159 *
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.1935 on 274080 degrees of freedom
Multiple R-squared(full model): 0.2246   Adjusted R-squared: -0.03317 
Multiple R-squared(proj model): -0.01146   Adjusted R-squared: -0.3476 
F-statistic(full model, *iid*):0.9055 on 91096 and 274080 DF, p-value: 1 
F-statistic(proj model): 5.814 on 1 and 226771 DF, p-value: 0.0159 
F-statistic(endog. vars):5.814 on 1 and 226771 DF, p-value: 0.0159 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

peer_iv_effect_stealcnt_lag_withmanager_update_fourthM$N

[1] 247899

summary(peer_iv_effect_stealcnt_lag_withmanager_update_fourthM$stage1)

Call:
   NULL 

Residuals:
     Min       1Q   Median       3Q      Max 
-1.03906 -0.04412 -0.00434  0.01407  2.38790 

Coefficients:
                                   Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_lag_peerTotalStealCnt + 1)  0.19223      0.01218   15.78   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.1545 on 176850 degrees of freedom
Multiple R-squared(full model): 0.3595   Adjusted R-squared: 0.1022 
Multiple R-squared(proj model): 0.005385   Adjusted R-squared: -0.3942 
F-statistic(full model, *iid*):1.397 on 71048 and 176850 DF, p-value: < 2.2e-16 
F-statistic(proj model): 249.1 on 1 and 168481 DF, p-value: < 2.2e-16 
F-statistic(excl instr.):249.1 on 1 and 168481 DF, p-value: < 2.2e-16 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

summary(peer_iv_effect_stealcnt_lag_withmanager_update_fourthM)

Call:
   felm(formula = log(focalTotalStealCnt + 1) ~ 1 | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      (log(avg_peerTotalStealCnt + 1) ~ log(avg_lag_peerTotalStealCnt +          1)) | store_date, data = peer_effect_with_manager_update_fourthM) 

Residuals:
    Min      1Q  Median      3Q     Max 
-1.3112 -0.0368 -0.0006  0.0143  3.1814 

Coefficients:
                                      Estimate Cluster s.e. t value Pr(>|t|)  
`log(avg_peerTotalStealCnt + 1)(fit)`  0.12071      0.05809   2.078   0.0377 *
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.1995 on 176850 degrees of freedom
Multiple R-squared(full model): 0.2574   Adjusted R-squared: -0.04095 
Multiple R-squared(proj model): -0.01091   Adjusted R-squared: -0.417 
F-statistic(full model, *iid*):0.8897 on 71048 and 176850 DF, p-value: 1 
F-statistic(proj model): 4.317 on 1 and 168481 DF, p-value: 0.03772 
F-statistic(endog. vars):4.317 on 1 and 168481 DF, p-value: 0.03772 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

peer_iv_effect_stealcnt_lag_withmanager_update_fifthM$N

[1] 169968

summary(peer_iv_effect_stealcnt_lag_withmanager_update_fifthM$stage1)

Call:
   NULL 

Residuals:
     Min       1Q   Median       3Q      Max 
-1.06246 -0.04524 -0.00349  0.01625  2.48039 

Coefficients:
                                   Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_lag_peerTotalStealCnt + 1)  0.18593      0.01354   13.74   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.1569 on 115360 degrees of freedom
Multiple R-squared(full model): 0.379   Adjusted R-squared: 0.0851 
Multiple R-squared(proj model): 0.004811   Adjusted R-squared: -0.4663 
F-statistic(full model, *iid*): 1.29 on 54607 and 115360 DF, p-value: < 2.2e-16 
F-statistic(proj model): 188.7 on 1 and 115360 DF, p-value: < 2.2e-16 
F-statistic(excl instr.):188.7 on 1 and 115360 DF, p-value: < 2.2e-16 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

summary(peer_iv_effect_stealcnt_lag_withmanager_update_fifthM)

Call:
   felm(formula = log(focalTotalStealCnt + 1) ~ 1 | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      (log(avg_peerTotalStealCnt + 1) ~ log(avg_lag_peerTotalStealCnt +          1)) | store_date, data = peer_effect_with_manager_update_fifthM) 

Residuals:
    Min      1Q  Median      3Q     Max 
-1.2236 -0.0381 -0.0003  0.0159  3.2145 

Coefficients:
                                      Estimate Cluster s.e. t value Pr(>|t|)  
`log(avg_peerTotalStealCnt + 1)(fit)`   0.1203       0.0721   1.669   0.0952 .
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.2062 on 115360 degrees of freedom
Multiple R-squared(full model): 0.2804   Adjusted R-squared: -0.06025 
Multiple R-squared(proj model): -0.01019   Adjusted R-squared: -0.4884 
F-statistic(full model, *iid*):0.8445 on 54607 and 115360 DF, p-value: 1 
F-statistic(proj model): 2.785 on 1 and 115360 DF, p-value: 0.09516 
F-statistic(endog. vars):2.785 on 1 and 115360 DF, p-value: 0.09516 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

peer_iv_effect_stealcnt_lag_withmanager_update_sixthM$N

[1] 305492

summary(peer_iv_effect_stealcnt_lag_withmanager_update_sixthM$stage1)

Call:
   NULL 

Residuals:
     Min       1Q   Median       3Q      Max 
-1.07112 -0.05153 -0.00949  0.01308  2.68792 

Coefficients:
                                   Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_lag_peerTotalStealCnt + 1)  0.19129      0.01043   18.35   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.1499 on 255526 degrees of freedom
Multiple R-squared(full model): 0.2973   Adjusted R-squared: 0.1599 
Multiple R-squared(proj model): 0.005152   Adjusted R-squared: -0.1894 
F-statistic(full model, *iid*):2.164 on 49965 and 255526 DF, p-value: < 2.2e-16 
F-statistic(proj model): 336.6 on 1 and 153827 DF, p-value: < 2.2e-16 
F-statistic(excl instr.):336.6 on 1 and 153827 DF, p-value: < 2.2e-16 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

summary(peer_iv_effect_stealcnt_lag_withmanager_update_sixthM)

Call:
   felm(formula = log(focalTotalStealCnt + 1) ~ 1 | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      (log(avg_peerTotalStealCnt + 1) ~ log(avg_lag_peerTotalStealCnt +          1)) | store_date, data = peer_effect_with_manager_update_sixthM) 

Residuals:
    Min      1Q  Median      3Q     Max 
-1.5747 -0.0487 -0.0054  0.0091  3.8668 

Coefficients:
                                      Estimate Cluster s.e. t value Pr(>|t|)
`log(avg_peerTotalStealCnt + 1)(fit)`  0.03286      0.05134    0.64    0.522

Residual standard error: 0.2074 on 255526 degrees of freedom
Multiple R-squared(full model): 0.2006   Adjusted R-squared: 0.04431 
Multiple R-squared(proj model): -0.001667   Adjusted R-squared: -0.1975 
F-statistic(full model, *iid*):1.292 on 49965 and 255526 DF, p-value: < 2.2e-16 
F-statistic(proj model): 0.4097 on 1 and 153827 DF, p-value: 0.5221 
F-statistic(endog. vars):0.4097 on 1 and 153827 DF, p-value: 0.5221 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Stealamt

peer_iv_effect_stealamt_lag_withmanager_update_firstM$N

[1] 985136

summary(peer_iv_effect_stealamt_lag_withmanager_update_firstM$stage1)

Call:
   NULL 

Residuals:
    Min      1Q  Median      3Q     Max 
-4.0178 -0.2024 -0.0537  0.0621  6.6430 

Coefficients:
                                      Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_lag_peerTotalStealAmount + 1) 0.320790     0.004584   69.97   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.5159 on 803028 degrees of freedom
Multiple R-squared(full model): 0.386   Adjusted R-squared: 0.2468 
Multiple R-squared(proj model): 0.03313   Adjusted R-squared: -0.1861 
F-statistic(full model, *iid*):2.772 on 182107 and 803028 DF, p-value: < 2.2e-16 
F-statistic(proj model):  4896 on 1 and 409386 DF, p-value: < 2.2e-16 
F-statistic(excl instr.): 4896 on 1 and 409386 DF, p-value: < 2.2e-16 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

summary(peer_iv_effect_stealamt_lag_withmanager_update_firstM)

Call:
   felm(formula = log(focalTotalStealAmount + 1) ~ 1 | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      (log(avg_peerTotalStealAmount + 1) ~ log(avg_lag_peerTotalStealAmount +          1)) | store_date, data = peer_effect_with_manager_update_firstM) 

Residuals:
    Min      1Q  Median      3Q     Max 
-3.7369 -0.1158 -0.0212  0.0265  7.2406 

Coefficients:
                                         Estimate Cluster s.e. t value Pr(>|t|)    
`log(avg_peerTotalStealAmount + 1)(fit)` 0.048773     0.006402   7.618 2.58e-14 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.4614 on 803028 degrees of freedom
Multiple R-squared(full model): 0.2028   Adjusted R-squared: 0.02203 
Multiple R-squared(proj model): -0.00248   Adjusted R-squared: -0.2298 
F-statistic(full model, *iid*):1.133 on 182107 and 803028 DF, p-value: < 2.2e-16 
F-statistic(proj model): 58.04 on 1 and 409386 DF, p-value: 2.579e-14 
F-statistic(endog. vars):58.04 on 1 and 409386 DF, p-value: 2.579e-14 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

peer_iv_effect_stealamt_lag_withmanager_update_secondM$N

[1] 569481

summary(peer_iv_effect_stealamt_lag_withmanager_update_secondM$stage1)

Call:
   NULL 

Residuals:
    Min      1Q  Median      3Q     Max 
-4.2292 -0.1983 -0.0453  0.0682  6.4145 

Coefficients:
                                      Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_lag_peerTotalStealAmount + 1) 0.325186     0.005861   55.48   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.5123 on 448742 degrees of freedom
Multiple R-squared(full model): 0.4087   Adjusted R-squared: 0.2497 
Multiple R-squared(proj model): 0.03391   Adjusted R-squared: -0.226 
F-statistic(full model, *iid*):2.569 on 120738 and 448742 DF, p-value: < 2.2e-16 
F-statistic(proj model):  3078 on 1 and 305130 DF, p-value: < 2.2e-16 
F-statistic(excl instr.): 3078 on 1 and 305130 DF, p-value: < 2.2e-16 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

summary(peer_iv_effect_stealamt_lag_withmanager_update_secondM)

Call:
   felm(formula = log(focalTotalStealAmount + 1) ~ 1 | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      (log(avg_peerTotalStealAmount + 1) ~ log(avg_lag_peerTotalStealAmount +          1)) | store_date, data = peer_effect_with_manager_update_secondM) 

Residuals:
    Min      1Q  Median      3Q     Max 
-3.8210 -0.1139 -0.0174  0.0316  6.7987 

Coefficients:
                                         Estimate Cluster s.e. t value Pr(>|t|)    
`log(avg_peerTotalStealAmount + 1)(fit)` 0.042100     0.008851   4.757 1.97e-06 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.4604 on 448742 degrees of freedom
Multiple R-squared(full model): 0.2302   Adjusted R-squared: 0.02309 
Multiple R-squared(proj model): -0.001737   Adjusted R-squared: -0.2713 
F-statistic(full model, *iid*):1.118 on 120738 and 448742 DF, p-value: < 2.2e-16 
F-statistic(proj model): 22.63 on 1 and 305130 DF, p-value: 1.969e-06 
F-statistic(endog. vars):22.63 on 1 and 305130 DF, p-value: 1.969e-06 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

peer_iv_effect_stealamt_lag_withmanager_update_thirdM$N

[1] 365177

summary(peer_iv_effect_stealamt_lag_withmanager_update_thirdM$stage1)

Call:
   NULL 

Residuals:
    Min      1Q  Median      3Q     Max 
-3.7365 -0.1939 -0.0381  0.0731  5.0692 

Coefficients:
                                      Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_lag_peerTotalStealAmount + 1) 0.329412     0.007651   43.06   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.5169 on 274080 degrees of freedom
Multiple R-squared(full model): 0.4236   Adjusted R-squared: 0.232 
Multiple R-squared(proj model): 0.03492   Adjusted R-squared: -0.2858 
F-statistic(full model, *iid*):2.211 on 91096 and 274080 DF, p-value: < 2.2e-16 
F-statistic(proj model):  1854 on 1 and 226771 DF, p-value: < 2.2e-16 
F-statistic(excl instr.): 1854 on 1 and 226771 DF, p-value: < 2.2e-16 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

summary(peer_iv_effect_stealamt_lag_withmanager_update_thirdM)

Call:
   felm(formula = log(focalTotalStealAmount + 1) ~ 1 | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      (log(avg_peerTotalStealAmount + 1) ~ log(avg_lag_peerTotalStealAmount +          1)) | store_date, data = peer_effect_with_manager_update_thirdM) 

Residuals:
    Min      1Q  Median      3Q     Max 
-3.9606 -0.1127 -0.0138  0.0353  5.8278 

Coefficients:
                                         Estimate Cluster s.e. t value Pr(>|t|)   
`log(avg_peerTotalStealAmount + 1)(fit)`  0.03508      0.01137   3.085  0.00204 **
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.4735 on 274080 degrees of freedom
Multiple R-squared(full model): 0.2695   Adjusted R-squared: 0.02677 
Multiple R-squared(proj model): -0.001447   Adjusted R-squared: -0.3343 
F-statistic(full model, *iid*):1.115 on 91096 and 274080 DF, p-value: < 2.2e-16 
F-statistic(proj model): 9.517 on 1 and 226771 DF, p-value: 0.002036 
F-statistic(endog. vars):9.517 on 1 and 226771 DF, p-value: 0.002036 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

peer_iv_effect_stealamt_lag_withmanager_update_fourthM$N

[1] 247899

summary(peer_iv_effect_stealamt_lag_withmanager_update_fourthM$stage1)

Call:
   NULL 

Residuals:
    Min      1Q  Median      3Q     Max 
-4.3631 -0.1901 -0.0315  0.0783  5.7950 

Coefficients:
                                      Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_lag_peerTotalStealAmount + 1) 0.341886     0.009812   34.84   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.5204 on 176850 degrees of freedom
Multiple R-squared(full model): 0.4504   Adjusted R-squared: 0.2296 
Multiple R-squared(proj model): 0.0376   Adjusted R-squared: -0.349 
F-statistic(full model, *iid*): 2.04 on 71048 and 176850 DF, p-value: < 2.2e-16 
F-statistic(proj model):  1214 on 1 and 168481 DF, p-value: < 2.2e-16 
F-statistic(excl instr.): 1214 on 1 and 168481 DF, p-value: < 2.2e-16 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

summary(peer_iv_effect_stealamt_lag_withmanager_update_fourthM)

Call:
   felm(formula = log(focalTotalStealAmount + 1) ~ 1 | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      (log(avg_peerTotalStealAmount + 1) ~ log(avg_lag_peerTotalStealAmount +          1)) | store_date, data = peer_effect_with_manager_update_fourthM) 

Residuals:
    Min      1Q  Median      3Q     Max 
-3.9768 -0.1078 -0.0091  0.0381  5.5676 

Coefficients:
                                         Estimate Cluster s.e. t value Pr(>|t|)   
`log(avg_peerTotalStealAmount + 1)(fit)`  0.04318      0.01529   2.824  0.00475 **
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.4921 on 176850 degrees of freedom
Multiple R-squared(full model): 0.3152   Adjusted R-squared: 0.04006 
Multiple R-squared(proj model): -0.001996   Adjusted R-squared: -0.4045 
F-statistic(full model, *iid*):1.151 on 71048 and 176850 DF, p-value: < 2.2e-16 
F-statistic(proj model): 7.974 on 1 and 168481 DF, p-value: 0.004747 
F-statistic(endog. vars):7.974 on 1 and 168481 DF, p-value: 0.004747 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

peer_iv_effect_stealamt_lag_withmanager_update_fifthM$N

[1] 169968

summary(peer_iv_effect_stealamt_lag_withmanager_update_fifthM$stage1)

Call:
   NULL 

Residuals:
    Min      1Q  Median      3Q     Max 
-3.4507 -0.1924 -0.0281  0.0838  4.6408 

Coefficients:
                                      Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_lag_peerTotalStealAmount + 1)  0.34364      0.01181    29.1   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.5271 on 115360 degrees of freedom
Multiple R-squared(full model): 0.4613   Adjusted R-squared: 0.2064 
Multiple R-squared(proj model): 0.03667   Adjusted R-squared: -0.4193 
F-statistic(full model, *iid*):1.809 on 54607 and 115360 DF, p-value: < 2.2e-16 
F-statistic(proj model): 846.7 on 1 and 115360 DF, p-value: < 2.2e-16 
F-statistic(excl instr.):846.7 on 1 and 115360 DF, p-value: < 2.2e-16 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

summary(peer_iv_effect_stealamt_lag_withmanager_update_fifthM)

Call:
   felm(formula = log(focalTotalStealAmount + 1) ~ 1 | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      (log(avg_peerTotalStealAmount + 1) ~ log(avg_lag_peerTotalStealAmount +          1)) | store_date, data = peer_effect_with_manager_update_fifthM) 

Residuals:
    Min      1Q  Median      3Q     Max 
-3.4672 -0.1077 -0.0048  0.0417  5.0335 

Coefficients:
                                         Estimate Cluster s.e. t value Pr(>|t|)
`log(avg_peerTotalStealAmount + 1)(fit)`  0.02691      0.02020   1.332    0.183

Residual standard error: 0.5071 on 115360 degrees of freedom
Multiple R-squared(full model): 0.3503   Adjusted R-squared: 0.04277 
Multiple R-squared(proj model): -0.0009319   Adjusted R-squared: -0.4747 
F-statistic(full model, *iid*):1.141 on 54607 and 115360 DF, p-value: < 2.2e-16 
F-statistic(proj model): 1.774 on 1 and 115360 DF, p-value: 0.1829 
F-statistic(endog. vars):1.774 on 1 and 115360 DF, p-value: 0.1829 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

peer_iv_effect_stealamt_lag_withmanager_update_sixthM$N

[1] 305492

summary(peer_iv_effect_stealamt_lag_withmanager_update_sixthM$stage1)

Call:
   NULL 

Residuals:
    Min      1Q  Median      3Q     Max 
-3.7566 -0.2253 -0.0540  0.0876  5.1520 

Coefficients:
                                      Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_lag_peerTotalStealAmount + 1)  0.39156      0.00817   47.93   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.508 on 255526 degrees of freedom
Multiple R-squared(full model): 0.4103   Adjusted R-squared: 0.295 
Multiple R-squared(proj model): 0.04844   Adjusted R-squared: -0.1376 
F-statistic(full model, *iid*):3.558 on 49965 and 255526 DF, p-value: < 2.2e-16 
F-statistic(proj model):  2297 on 1 and 153827 DF, p-value: < 2.2e-16 
F-statistic(excl instr.): 2297 on 1 and 153827 DF, p-value: < 2.2e-16 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

summary(peer_iv_effect_stealamt_lag_withmanager_update_sixthM)

Call:
   felm(formula = log(focalTotalStealAmount + 1) ~ 1 | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      (log(avg_peerTotalStealAmount + 1) ~ log(avg_lag_peerTotalStealAmount +          1)) | store_date, data = peer_effect_with_manager_update_sixthM) 

Residuals:
    Min      1Q  Median      3Q     Max 
-4.8603 -0.1426 -0.0313  0.0269  6.3790 

Coefficients:
                                          Estimate Cluster s.e. t value Pr(>|t|)
`log(avg_peerTotalStealAmount + 1)(fit)` -0.004432     0.012362  -0.359     0.72

Residual standard error: 0.5179 on 255526 degrees of freedom
Multiple R-squared(full model): 0.3323   Adjusted R-squared: 0.2018 
Multiple R-squared(proj model): 4.705e-05   Adjusted R-squared: -0.1955 
F-statistic(full model, *iid*):2.545 on 49965 and 255526 DF, p-value: < 2.2e-16 
F-statistic(proj model): 0.1285 on 1 and 153827 DF, p-value: 0.72 
F-statistic(endog. vars):0.1285 on 1 and 153827 DF, p-value: 0.72 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

60 Days Intervals

• Tipping

peer_iv_effect_AvgTip_lag_withmanager_update_first60$N

[1] 1763586

summary(peer_iv_effect_AvgTip_lag_withmanager_update_first60$stage1)

Call:
   NULL 

Residuals:
    Min      1Q  Median      3Q     Max 
-345.83   -0.57   -0.04    0.47 1332.91 

Coefficients:
                   Estimate Cluster s.e. t value Pr(>|t|)    
avg_lag_peerAvgTip   0.7267       0.1663    4.37 1.24e-05 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 4.171 on 1576747 degrees of freedom
Multiple R-squared(full model): 0.5422   Adjusted R-squared: 0.4879 
Multiple R-squared(proj model): 0.04406   Adjusted R-squared: -0.06921 
F-statistic(full model, *iid*):9.995 on 186838 and 1576747 DF, p-value: < 2.2e-16 
F-statistic(proj model):  19.1 on 1 and 496970 DF, p-value: 1.243e-05 
F-statistic(excl instr.): 19.1 on 1 and 496970 DF, p-value: 1.243e-05 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

summary(peer_iv_effect_AvgTip_lag_withmanager_update_first60)

Call:
   felm(formula = focalAvgTip ~ 1 | factor(focalemployee) + factor(storekey) *      factor(week) + factor(storekey) * factor(weekday) + factor(storekey) *      factor(year) + factor(storekey) * factor(is_guard) + factor(managerkey1) |      (avg_peerAvgTip ~ avg_lag_peerAvgTip) | store_date, data = peer_effect_with_manager_update_first60) 

Residuals:
    Min      1Q  Median      3Q     Max 
-2307.3    -1.0    -0.1     0.8  4364.3 

Coefficients:
                      Estimate Cluster s.e. t value Pr(>|t|)
`avg_peerAvgTip(fit)`  0.08812      0.06725    1.31     0.19

Residual standard error: 7.827 on 1576747 degrees of freedom
Multiple R-squared(full model): 0.4196   Adjusted R-squared: 0.3509 
Multiple R-squared(proj model): -0.00107   Adjusted R-squared: -0.1197 
F-statistic(full model, *iid*):6.112 on 186838 and 1576747 DF, p-value: < 2.2e-16 
F-statistic(proj model): 1.717 on 1 and 496970 DF, p-value: 0.1901 
F-statistic(endog. vars):1.717 on 1 and 496970 DF, p-value: 0.1901 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

peer_iv_effect_AvgTip_lag_withmanager_update_mid60$N

[1] 677072

summary(peer_iv_effect_AvgTip_lag_withmanager_update_mid60$stage1)

Call:
   NULL 

Residuals:
    Min      1Q  Median      3Q     Max 
-190.30   -0.54   -0.03    0.45  888.25 

Coefficients:
                   Estimate Cluster s.e. t value Pr(>|t|)    
avg_lag_peerAvgTip   0.5938       0.1601   3.709 0.000208 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 3.625 on 583655 degrees of freedom
Multiple R-squared(full model): 0.472   Adjusted R-squared: 0.3875 
Multiple R-squared(proj model): 0.03643   Adjusted R-squared: -0.1178 
F-statistic(full model, *iid*):5.586 on 93416 and 583655 DF, p-value: < 2.2e-16 
F-statistic(proj model): 13.76 on 1 and 289008 DF, p-value: 0.0002082 
F-statistic(excl instr.):13.76 on 1 and 289008 DF, p-value: 0.0002082 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

summary(peer_iv_effect_AvgTip_lag_withmanager_update_mid60)

Call:
   felm(formula = focalAvgTip ~ 1 | factor(focalemployee) + factor(storekey) *      factor(week) + factor(storekey) * factor(weekday) + factor(storekey) *      factor(year) + factor(storekey) * factor(is_guard) + factor(managerkey1) |      (avg_peerAvgTip ~ avg_lag_peerAvgTip) | store_date, data = peer_effect_with_manager_update_mid60) 

Residuals:
    Min      1Q  Median      3Q     Max 
-465.77   -1.03   -0.10    0.80 1268.87 

Coefficients:
                      Estimate Cluster s.e. t value Pr(>|t|)
`avg_peerAvgTip(fit)`  0.04073      0.07058   0.577    0.564

Residual standard error: 5.214 on 583655 degrees of freedom
Multiple R-squared(full model): 0.3682   Adjusted R-squared: 0.2671 
Multiple R-squared(proj model): 4.187e-05   Adjusted R-squared: -0.16 
F-statistic(full model, *iid*):3.642 on 93416 and 583655 DF, p-value: < 2.2e-16 
F-statistic(proj model): 0.333 on 1 and 289008 DF, p-value: 0.5639 
F-statistic(endog. vars):0.333 on 1 and 289008 DF, p-value: 0.5639 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

peer_iv_effect_AvgTip_lag_withmanager_update_mid60$N

[1] 677072

summary(peer_iv_effect_AvgTip_lag_withmanager_update_mid60$stage1)

Call:
   NULL 

Residuals:
    Min      1Q  Median      3Q     Max 
-190.30   -0.54   -0.03    0.45  888.25 

Coefficients:
                   Estimate Cluster s.e. t value Pr(>|t|)    
avg_lag_peerAvgTip   0.5938       0.1601   3.709 0.000208 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 3.625 on 583655 degrees of freedom
Multiple R-squared(full model): 0.472   Adjusted R-squared: 0.3875 
Multiple R-squared(proj model): 0.03643   Adjusted R-squared: -0.1178 
F-statistic(full model, *iid*):5.586 on 93416 and 583655 DF, p-value: < 2.2e-16 
F-statistic(proj model): 13.76 on 1 and 289008 DF, p-value: 0.0002082 
F-statistic(excl instr.):13.76 on 1 and 289008 DF, p-value: 0.0002082 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

summary(peer_iv_effect_AvgTip_lag_withmanager_update_mid60)

Call:
   felm(formula = focalAvgTip ~ 1 | factor(focalemployee) + factor(storekey) *      factor(week) + factor(storekey) * factor(weekday) + factor(storekey) *      factor(year) + factor(storekey) * factor(is_guard) + factor(managerkey1) |      (avg_peerAvgTip ~ avg_lag_peerAvgTip) | store_date, data = peer_effect_with_manager_update_mid60) 

Residuals:
    Min      1Q  Median      3Q     Max 
-465.77   -1.03   -0.10    0.80 1268.87 

Coefficients:
                      Estimate Cluster s.e. t value Pr(>|t|)
`avg_peerAvgTip(fit)`  0.04073      0.07058   0.577    0.564

Residual standard error: 5.214 on 583655 degrees of freedom
Multiple R-squared(full model): 0.3682   Adjusted R-squared: 0.2671 
Multiple R-squared(proj model): 4.187e-05   Adjusted R-squared: -0.16 
F-statistic(full model, *iid*):3.642 on 93416 and 583655 DF, p-value: < 2.2e-16 
F-statistic(proj model): 0.333 on 1 and 289008 DF, p-value: 0.5639 
F-statistic(endog. vars):0.333 on 1 and 289008 DF, p-value: 0.5639 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

peer_iv_effect_AvgTip_lag_withmanager_update_last60$N

[1] 465281

summary(peer_iv_effect_AvgTip_lag_withmanager_update_last60$stage1)

Call:
   NULL 

Residuals:
    Min      1Q  Median      3Q     Max 
-207.48   -0.51   -0.03    0.43  646.68 

Coefficients:
                   Estimate Cluster s.e. t value Pr(>|t|)    
avg_lag_peerAvgTip  0.61716      0.08816   7.001 2.55e-12 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 3.638 on 406533 degrees of freedom
Multiple R-squared(full model): 0.5151   Adjusted R-squared: 0.445 
Multiple R-squared(proj model): 0.02893   Adjusted R-squared: -0.1114 
F-statistic(full model, *iid*):7.351 on 58747 and 406533 DF, p-value: < 2.2e-16 
F-statistic(proj model): 49.01 on 1 and 187653 DF, p-value: 2.555e-12 
F-statistic(excl instr.):49.01 on 1 and 187653 DF, p-value: 2.555e-12 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

summary(peer_iv_effect_AvgTip_lag_withmanager_update_last60)

Call:
   felm(formula = focalAvgTip ~ 1 | factor(focalemployee) + factor(storekey) *      factor(week) + factor(storekey) * factor(weekday) + factor(storekey) *      factor(year) + factor(storekey) * factor(is_guard) + factor(managerkey1) |      (avg_peerAvgTip ~ avg_lag_peerAvgTip) | store_date, data = peer_effect_with_manager_update_last60) 

Residuals:
   Min     1Q Median     3Q    Max 
-84.09  -1.02  -0.11   0.79 616.73 

Coefficients:
                      Estimate Cluster s.e. t value Pr(>|t|)
`avg_peerAvgTip(fit)`  0.05331      0.03500   1.523    0.128

Residual standard error: 2.949 on 406533 degrees of freedom
Multiple R-squared(full model): 0.4208   Adjusted R-squared: 0.3371 
Multiple R-squared(proj model): -0.004467   Adjusted R-squared: -0.1496 
F-statistic(full model, *iid*):5.059 on 58747 and 406533 DF, p-value: < 2.2e-16 
F-statistic(proj model): 2.319 on 1 and 187653 DF, p-value: 0.1278 
F-statistic(endog. vars):2.319 on 1 and 187653 DF, p-value: 0.1278 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Stealcnt

peer_iv_effect_stealcnt_lag_withmanager_update_first60$N

[1] 1763586

summary(peer_iv_effect_stealcnt_lag_withmanager_update_first60$stage1)

Call:
   NULL 

Residuals:
    Min      1Q  Median      3Q     Max 
-1.6076 -0.0480 -0.0102  0.0090  3.3993 

Coefficients:
                                   Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_lag_peerTotalStealCnt + 1) 0.189773     0.006432   29.51   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.1494 on 1577720 degrees of freedom
Multiple R-squared(full model): 0.2772   Adjusted R-squared: 0.192 
Multiple R-squared(proj model): 0.006005   Adjusted R-squared: -0.1111 
F-statistic(full model, *iid*):3.255 on 185865 and 1577720 DF, p-value: < 2.2e-16 
F-statistic(proj model): 870.6 on 1 and 496970 DF, p-value: < 2.2e-16 
F-statistic(excl instr.):870.6 on 1 and 496970 DF, p-value: < 2.2e-16 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

summary(peer_iv_effect_stealcnt_lag_withmanager_update_first60)

Call:
   felm(formula = log(focalTotalStealCnt + 1) ~ 1 | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      (log(avg_peerTotalStealCnt + 1) ~ log(avg_lag_peerTotalStealCnt +          1)) | store_date, data = peer_effect_with_manager_update_first60) 

Residuals:
    Min      1Q  Median      3Q     Max 
-1.6875 -0.0384 -0.0053  0.0070  4.3213 

Coefficients:
                                      Estimate Cluster s.e. t value Pr(>|t|)    
`log(avg_peerTotalStealCnt + 1)(fit)`  0.10786      0.02588   4.167 3.09e-05 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.182 on 1577720 degrees of freedom
Multiple R-squared(full model): 0.1336   Adjusted R-squared: 0.03149 
Multiple R-squared(proj model): -0.01076   Adjusted R-squared: -0.1298 
F-statistic(full model, *iid*):1.399 on 185865 and 1577720 DF, p-value: < 2.2e-16 
F-statistic(proj model): 17.36 on 1 and 496970 DF, p-value: 3.086e-05 
F-statistic(endog. vars):17.36 on 1 and 496970 DF, p-value: 3.086e-05 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

peer_iv_effect_stealcnt_lag_withmanager_update_mid60$N

[1] 677072

summary(peer_iv_effect_stealcnt_lag_withmanager_update_mid60$stage1)

Call:
   NULL 

Residuals:
     Min       1Q   Median       3Q      Max 
-1.50218 -0.04754 -0.00801  0.01122  3.07219 

Coefficients:
                                   Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_lag_peerTotalStealCnt + 1) 0.176357     0.009463   18.64   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.1477 on 584617 degrees of freedom
Multiple R-squared(full model): 0.3181   Adjusted R-squared: 0.2103 
Multiple R-squared(proj model): 0.005   Adjusted R-squared: -0.1524 
F-statistic(full model, *iid*): 2.95 on 92454 and 584617 DF, p-value: < 2.2e-16 
F-statistic(proj model): 347.3 on 1 and 289008 DF, p-value: < 2.2e-16 
F-statistic(excl instr.):347.3 on 1 and 289008 DF, p-value: < 2.2e-16 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

summary(peer_iv_effect_stealcnt_lag_withmanager_update_mid60)

Call:
   felm(formula = log(focalTotalStealCnt + 1) ~ 1 | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      (log(avg_peerTotalStealCnt + 1) ~ log(avg_lag_peerTotalStealCnt +          1)) | store_date, data = peer_effect_with_manager_update_mid60) 

Residuals:
    Min      1Q  Median      3Q     Max 
-1.4365 -0.0438 -0.0046  0.0099  4.8690 

Coefficients:
                                      Estimate Cluster s.e. t value Pr(>|t|)  
`log(avg_peerTotalStealCnt + 1)(fit)`  0.11220      0.04447   2.523   0.0116 *
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.1959 on 584617 degrees of freedom
Multiple R-squared(full model): 0.1761   Adjusted R-squared: 0.04575 
Multiple R-squared(proj model): -0.01105   Adjusted R-squared: -0.1709 
F-statistic(full model, *iid*): 1.42 on 92454 and 584617 DF, p-value: < 2.2e-16 
F-statistic(proj model): 6.365 on 1 and 289008 DF, p-value: 0.01164 
F-statistic(endog. vars):6.365 on 1 and 289008 DF, p-value: 0.01164 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

peer_iv_effect_stealcnt_lag_withmanager_update_mid60$N

[1] 677072

summary(peer_iv_effect_stealcnt_lag_withmanager_update_mid60$stage1)

Call:
   NULL 

Residuals:
     Min       1Q   Median       3Q      Max 
-1.50218 -0.04754 -0.00801  0.01122  3.07219 

Coefficients:
                                   Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_lag_peerTotalStealCnt + 1) 0.176357     0.009463   18.64   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.1477 on 584617 degrees of freedom
Multiple R-squared(full model): 0.3181   Adjusted R-squared: 0.2103 
Multiple R-squared(proj model): 0.005   Adjusted R-squared: -0.1524 
F-statistic(full model, *iid*): 2.95 on 92454 and 584617 DF, p-value: < 2.2e-16 
F-statistic(proj model): 347.3 on 1 and 289008 DF, p-value: < 2.2e-16 
F-statistic(excl instr.):347.3 on 1 and 289008 DF, p-value: < 2.2e-16 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

summary(peer_iv_effect_stealcnt_lag_withmanager_update_mid60)

Call:
   felm(formula = log(focalTotalStealCnt + 1) ~ 1 | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      (log(avg_peerTotalStealCnt + 1) ~ log(avg_lag_peerTotalStealCnt +          1)) | store_date, data = peer_effect_with_manager_update_mid60) 

Residuals:
    Min      1Q  Median      3Q     Max 
-1.4365 -0.0438 -0.0046  0.0099  4.8690 

Coefficients:
                                      Estimate Cluster s.e. t value Pr(>|t|)  
`log(avg_peerTotalStealCnt + 1)(fit)`  0.11220      0.04447   2.523   0.0116 *
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.1959 on 584617 degrees of freedom
Multiple R-squared(full model): 0.1761   Adjusted R-squared: 0.04575 
Multiple R-squared(proj model): -0.01105   Adjusted R-squared: -0.1709 
F-statistic(full model, *iid*): 1.42 on 92454 and 584617 DF, p-value: < 2.2e-16 
F-statistic(proj model): 6.365 on 1 and 289008 DF, p-value: 0.01164 
F-statistic(endog. vars):6.365 on 1 and 289008 DF, p-value: 0.01164 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

peer_iv_effect_stealcnt_lag_withmanager_update_last60$N

[1] 465281

summary(peer_iv_effect_stealcnt_lag_withmanager_update_last60$stage1)

Call:
   NULL 

Residuals:
     Min       1Q   Median       3Q      Max 
-2.50411 -0.04994 -0.00908  0.01162  2.73532 

Coefficients:
                                   Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_lag_peerTotalStealCnt + 1) 0.177420     0.009797   18.11   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.1454 on 407462 degrees of freedom
Multiple R-squared(full model): 0.316   Adjusted R-squared: 0.219 
Multiple R-squared(proj model): 0.005086   Adjusted R-squared: -0.1361 
F-statistic(full model, *iid*):3.256 on 57818 and 407462 DF, p-value: < 2.2e-16 
F-statistic(proj model): 327.9 on 1 and 187653 DF, p-value: < 2.2e-16 
F-statistic(excl instr.):327.9 on 1 and 187653 DF, p-value: < 2.2e-16 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

summary(peer_iv_effect_stealcnt_lag_withmanager_update_last60)

Call:
   felm(formula = log(focalTotalStealCnt + 1) ~ 1 | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      (log(avg_peerTotalStealCnt + 1) ~ log(avg_lag_peerTotalStealCnt +          1)) | store_date, data = peer_effect_with_manager_update_last60) 

Residuals:
    Min      1Q  Median      3Q     Max 
-1.3230 -0.0485 -0.0066  0.0075  3.9952 

Coefficients:
                                      Estimate Cluster s.e. t value Pr(>|t|)
`log(avg_peerTotalStealCnt + 1)(fit)` -0.01212      0.05121  -0.237    0.813

Residual standard error: 0.203 on 407462 degrees of freedom
Multiple R-squared(full model): 0.1817   Adjusted R-squared: 0.0656 
Multiple R-squared(proj model): 0.0003485   Adjusted R-squared: -0.1415 
F-statistic(full model, *iid*):1.562 on 57818 and 407462 DF, p-value: < 2.2e-16 
F-statistic(proj model): 0.05598 on 1 and 187653 DF, p-value: 0.813 
F-statistic(endog. vars):0.05598 on 1 and 187653 DF, p-value: 0.813 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Stealamt

peer_iv_effect_stealamt_lag_withmanager_update_first60$N

[1] 1763586

summary(peer_iv_effect_stealamt_lag_withmanager_update_first60$stage1)

Call:
   NULL 

Residuals:
    Min      1Q  Median      3Q     Max 
-3.9707 -0.2025 -0.0595  0.0537  6.6749 

Coefficients:
                                      Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_lag_peerTotalStealAmount + 1)  0.32130      0.00401   80.13   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.5009 on 1577720 degrees of freedom
Multiple R-squared(full model): 0.3739   Adjusted R-squared: 0.3001 
Multiple R-squared(proj model): 0.03439   Adjusted R-squared: -0.07937 
F-statistic(full model, *iid*):5.069 on 185865 and 1577720 DF, p-value: < 2.2e-16 
F-statistic(proj model):  6421 on 1 and 496970 DF, p-value: < 2.2e-16 
F-statistic(excl instr.): 6421 on 1 and 496970 DF, p-value: < 2.2e-16 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

summary(peer_iv_effect_stealamt_lag_withmanager_update_first60)

Call:
   felm(formula = log(focalTotalStealAmount + 1) ~ 1 | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      (log(avg_peerTotalStealAmount + 1) ~ log(avg_lag_peerTotalStealAmount +          1)) | store_date, data = peer_effect_with_manager_update_first60) 

Residuals:
    Min      1Q  Median      3Q     Max 
-3.9209 -0.1161 -0.0320  0.0166  7.6089 

Coefficients:
                                         Estimate Cluster s.e. t value Pr(>|t|)    
`log(avg_peerTotalStealAmount + 1)(fit)` 0.039515     0.005392   7.328 2.34e-13 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.4603 on 1577720 degrees of freedom
Multiple R-squared(full model): 0.1754   Adjusted R-squared: 0.07827 
Multiple R-squared(proj model): -0.001999   Adjusted R-squared: -0.12 
F-statistic(full model, *iid*):1.823 on 185865 and 1577720 DF, p-value: < 2.2e-16 
F-statistic(proj model):  53.7 on 1 and 496970 DF, p-value: 2.339e-13 
F-statistic(endog. vars): 53.7 on 1 and 496970 DF, p-value: 2.339e-13 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

peer_iv_effect_stealamt_lag_withmanager_update_mid60$N

[1] 677072

summary(peer_iv_effect_stealamt_lag_withmanager_update_mid60$stage1)

Call:
   NULL 

Residuals:
    Min      1Q  Median      3Q     Max 
-4.4505 -0.1989 -0.0475  0.0667  6.0964 

Coefficients:
                                      Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_lag_peerTotalStealAmount + 1) 0.337361     0.006078    55.5   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.4943 on 584617 degrees of freedom
Multiple R-squared(full model): 0.4113   Adjusted R-squared: 0.3182 
Multiple R-squared(proj model): 0.03835   Adjusted R-squared: -0.1137 
F-statistic(full model, *iid*):4.418 on 92454 and 584617 DF, p-value: < 2.2e-16 
F-statistic(proj model):  3080 on 1 and 289008 DF, p-value: < 2.2e-16 
F-statistic(excl instr.): 3080 on 1 and 289008 DF, p-value: < 2.2e-16 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

summary(peer_iv_effect_stealamt_lag_withmanager_update_mid60)

Call:
   felm(formula = log(focalTotalStealAmount + 1) ~ 1 | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      (log(avg_peerTotalStealAmount + 1) ~ log(avg_lag_peerTotalStealAmount +          1)) | store_date, data = peer_effect_with_manager_update_mid60) 

Residuals:
    Min      1Q  Median      3Q     Max 
-4.4077 -0.1243 -0.0261  0.0262  6.1693 

Coefficients:
                                         Estimate Cluster s.e. t value Pr(>|t|)    
`log(avg_peerTotalStealAmount + 1)(fit)` 0.034716     0.009494   3.657 0.000256 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.4811 on 584617 degrees of freedom
Multiple R-squared(full model): 0.2427   Adjusted R-squared: 0.1229 
Multiple R-squared(proj model): -0.00191   Adjusted R-squared: -0.1604 
F-statistic(full model, *iid*):2.038 on 92454 and 584617 DF, p-value: < 2.2e-16 
F-statistic(proj model): 13.37 on 1 and 289008 DF, p-value: 0.0002557 
F-statistic(endog. vars):13.37 on 1 and 289008 DF, p-value: 0.0002557 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

peer_iv_effect_stealamt_lag_withmanager_update_mid60$N

[1] 677072

summary(peer_iv_effect_stealamt_lag_withmanager_update_mid60$stage1)

Call:
   NULL 

Residuals:
    Min      1Q  Median      3Q     Max 
-4.4505 -0.1989 -0.0475  0.0667  6.0964 

Coefficients:
                                      Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_lag_peerTotalStealAmount + 1) 0.337361     0.006078    55.5   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.4943 on 584617 degrees of freedom
Multiple R-squared(full model): 0.4113   Adjusted R-squared: 0.3182 
Multiple R-squared(proj model): 0.03835   Adjusted R-squared: -0.1137 
F-statistic(full model, *iid*):4.418 on 92454 and 584617 DF, p-value: < 2.2e-16 
F-statistic(proj model):  3080 on 1 and 289008 DF, p-value: < 2.2e-16 
F-statistic(excl instr.): 3080 on 1 and 289008 DF, p-value: < 2.2e-16 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

summary(peer_iv_effect_stealamt_lag_withmanager_update_mid60)

Call:
   felm(formula = log(focalTotalStealAmount + 1) ~ 1 | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      (log(avg_peerTotalStealAmount + 1) ~ log(avg_lag_peerTotalStealAmount +          1)) | store_date, data = peer_effect_with_manager_update_mid60) 

Residuals:
    Min      1Q  Median      3Q     Max 
-4.4077 -0.1243 -0.0261  0.0262  6.1693 

Coefficients:
                                         Estimate Cluster s.e. t value Pr(>|t|)    
`log(avg_peerTotalStealAmount + 1)(fit)` 0.034716     0.009494   3.657 0.000256 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.4811 on 584617 degrees of freedom
Multiple R-squared(full model): 0.2427   Adjusted R-squared: 0.1229 
Multiple R-squared(proj model): -0.00191   Adjusted R-squared: -0.1604 
F-statistic(full model, *iid*):2.038 on 92454 and 584617 DF, p-value: < 2.2e-16 
F-statistic(proj model): 13.37 on 1 and 289008 DF, p-value: 0.0002557 
F-statistic(endog. vars):13.37 on 1 and 289008 DF, p-value: 0.0002557 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

peer_iv_effect_stealamt_lag_withmanager_update_last60$N

[1] 465281

summary(peer_iv_effect_stealamt_lag_withmanager_update_last60$stage1)

Call:
   NULL 

Residuals:
    Min      1Q  Median      3Q     Max 
-4.3824 -0.2188 -0.0523  0.0816  5.2026 

Coefficients:
                                      Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_lag_peerTotalStealAmount + 1) 0.375070     0.007737   48.48   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.4952 on 407462 degrees of freedom
Multiple R-squared(full model): 0.4266   Adjusted R-squared: 0.3452 
Multiple R-squared(proj model): 0.04764   Adjusted R-squared: -0.0875 
F-statistic(full model, *iid*):5.243 on 57818 and 407462 DF, p-value: < 2.2e-16 
F-statistic(proj model):  2350 on 1 and 187653 DF, p-value: < 2.2e-16 
F-statistic(excl instr.): 2350 on 1 and 187653 DF, p-value: < 2.2e-16 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

summary(peer_iv_effect_stealamt_lag_withmanager_update_last60)

Call:
   felm(formula = log(focalTotalStealAmount + 1) ~ 1 | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      (log(avg_peerTotalStealAmount + 1) ~ log(avg_lag_peerTotalStealAmount +          1)) | store_date, data = peer_effect_with_manager_update_last60) 

Residuals:
    Min      1Q  Median      3Q     Max 
-5.2547 -0.1392 -0.0340  0.0225  6.9706 

Coefficients:
                                         Estimate Cluster s.e. t value Pr(>|t|)  
`log(avg_peerTotalStealAmount + 1)(fit)` -0.02528      0.01159  -2.182   0.0291 *
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.5084 on 407462 degrees of freedom
Multiple R-squared(full model): 0.2962   Adjusted R-squared: 0.1964 
Multiple R-squared(proj model): -8.028e-05   Adjusted R-squared: -0.142 
F-statistic(full model, *iid*):2.967 on 57818 and 407462 DF, p-value: < 2.2e-16 
F-statistic(proj model):  4.76 on 1 and 187653 DF, p-value: 0.02912 
F-statistic(endog. vars): 4.76 on 1 and 187653 DF, p-value: 0.02912 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

New employee OLS of first60 days

• Tipping

summary(peer_ols_effect_AvgTip_lag_withmanager_update_first60)

Call:
   felm(formula = focalAvgTip ~ avg_peerAvgTip | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      0 | store_date, data = peer_effect_with_manager_update_first60) 

Residuals:
    Min      1Q  Median      3Q     Max 
-2307.2    -1.0    -0.1     0.8  4373.1 

Coefficients:
               Estimate Cluster s.e. t value Pr(>|t|)
avg_peerAvgTip  0.02369      0.03590    0.66    0.509

Residual standard error: 7.821 on 1577720 degrees of freedom
Multiple R-squared(full model): 0.4203   Adjusted R-squared: 0.352 
Multiple R-squared(proj model): 0.0001668   Adjusted R-squared: -0.1176 
F-statistic(full model, *iid*):6.155 on 185865 and 1577720 DF, p-value: < 2.2e-16 
F-statistic(proj model): 0.4352 on 1 and 496970 DF, p-value: 0.5094 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Stealcnt

summary(peer_ols_effect_stealcnt_lag_withmanager_update_first60)

Call:
   felm(formula = log(focalTotalStealCnt + 1) ~ log(avg_peerTotalStealCnt +      1) | factor(focalemployee) + factor(storekey) * factor(week) +      factor(storekey) * factor(weekday) + factor(storekey) * factor(year) +      factor(is_guard) + factor(managerkey1) | 0 | store_date,      data = peer_effect_with_manager_update_first60) 

Residuals:
    Min      1Q  Median      3Q     Max 
-1.6823 -0.0386 -0.0061  0.0061  4.3569 

Coefficients:
                                Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_peerTotalStealCnt + 1) -0.018814     0.002248  -8.368   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.181 on 1577720 degrees of freedom
Multiple R-squared(full model): 0.143   Adjusted R-squared: 0.04203 
Multiple R-squared(proj model): 0.0002427   Adjusted R-squared: -0.1175 
F-statistic(full model, *iid*):1.416 on 185865 and 1577720 DF, p-value: < 2.2e-16 
F-statistic(proj model): 70.03 on 1 and 496970 DF, p-value: < 2.2e-16 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Stealamt

summary(peer_ols_effect_stealamt_lag_withmanager_update_first60)

Call:
   felm(formula = log(focalTotalStealAmount + 1) ~ log(avg_peerTotalStealAmount +      1) | factor(focalemployee) + factor(storekey) * factor(week) +      factor(storekey) * factor(weekday) + factor(storekey) * factor(year) +      factor(is_guard) + factor(managerkey1) | 0 | store_date,      data = peer_effect_with_manager_update_first60) 

Residuals:
    Min      1Q  Median      3Q     Max 
-3.8948 -0.1154 -0.0324  0.0155  7.5738 

Coefficients:
                                    Estimate Cluster s.e. t value Pr(>|t|)
log(avg_peerTotalStealAmount + 1) -0.0008302    0.0013550  -0.613     0.54

Residual standard error: 0.4599 on 1577720 degrees of freedom
Multiple R-squared(full model): 0.1771   Adjusted R-squared: 0.08011 
Multiple R-squared(proj model): 8.469e-07   Adjusted R-squared: -0.1178 
F-statistic(full model, *iid*):1.826 on 185865 and 1577720 DF, p-value: < 2.2e-16 
F-statistic(proj model): 0.3754 on 1 and 496970 DF, p-value: 0.5401 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

New employee OLS of mid60 days

• Tipping

summary(peer_ols_effect_AvgTip_lag_withmanager_update_mid60)

Call:
   felm(formula = focalAvgTip ~ avg_peerAvgTip | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      0 | store_date, data = peer_effect_with_manager_update_mid60) 

Residuals:
    Min      1Q  Median      3Q     Max 
-465.38   -1.03   -0.10    0.80 1269.26 

Coefficients:
               Estimate Cluster s.e. t value Pr(>|t|)
avg_peerAvgTip  0.02138      0.02383   0.897     0.37

Residual standard error: 5.21 on 584617 degrees of freedom
Multiple R-squared(full model): 0.3682   Adjusted R-squared: 0.2683 
Multiple R-squared(proj model): 0.0002294   Adjusted R-squared: -0.1579 
F-statistic(full model, *iid*):3.685 on 92454 and 584617 DF, p-value: < 2.2e-16 
F-statistic(proj model): 0.8048 on 1 and 289008 DF, p-value: 0.3697 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Stealcnt

summary(peer_ols_effect_stealcnt_lag_withmanager_update_mid60)

Call:
   felm(formula = log(focalTotalStealCnt + 1) ~ log(avg_peerTotalStealCnt +      1) | factor(focalemployee) + factor(storekey) * factor(week) +      factor(storekey) * factor(weekday) + factor(storekey) * factor(year) +      factor(is_guard) + factor(managerkey1) | 0 | store_date,      data = peer_effect_with_manager_update_mid60) 

Residuals:
    Min      1Q  Median      3Q     Max 
-1.4386 -0.0435 -0.0051  0.0090  4.8644 

Coefficients:
                                Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_peerTotalStealCnt + 1) -0.029189     0.003783  -7.715 1.21e-14 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.1948 on 584617 degrees of freedom
Multiple R-squared(full model): 0.1855   Adjusted R-squared: 0.05665 
Multiple R-squared(proj model): 0.0004919   Adjusted R-squared: -0.1576 
F-statistic(full model, *iid*): 1.44 on 92454 and 584617 DF, p-value: < 2.2e-16 
F-statistic(proj model): 59.53 on 1 and 289008 DF, p-value: 1.209e-14 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Stealamt

summary(peer_ols_effect_stealamt_lag_withmanager_update_mid60)

Call:
   felm(formula = log(focalTotalStealAmount + 1) ~ log(avg_peerTotalStealAmount +      1) | factor(focalemployee) + factor(storekey) * factor(week) +      factor(storekey) * factor(weekday) + factor(storekey) * factor(year) +      factor(is_guard) + factor(managerkey1) | 0 | store_date,      data = peer_effect_with_manager_update_mid60) 

Residuals:
    Min      1Q  Median      3Q     Max 
-4.4134 -0.1240 -0.0260  0.0255  6.1392 

Coefficients:
                                   Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_peerTotalStealAmount + 1) -0.007653     0.002162   -3.54    4e-04 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.4806 on 584617 degrees of freedom
Multiple R-squared(full model): 0.2441   Adjusted R-squared: 0.1246 
Multiple R-squared(proj model): 6.442e-05   Adjusted R-squared: -0.1581 
F-statistic(full model, *iid*):2.042 on 92454 and 584617 DF, p-value: < 2.2e-16 
F-statistic(proj model): 12.53 on 1 and 289008 DF, p-value: 0.0004005 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

New employee OLS of last60 days

• Tipping

summary(peer_ols_effect_AvgTip_lag_withmanager_update_last60)

Call:
   felm(formula = focalAvgTip ~ avg_peerAvgTip | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      0 | store_date, data = peer_effect_with_manager_update_last60) 

Residuals:
   Min     1Q Median     3Q    Max 
-84.08  -1.02  -0.11   0.79 615.90 

Coefficients:
                Estimate Cluster s.e. t value Pr(>|t|)
avg_peerAvgTip 4.736e-05    6.997e-03   0.007    0.995

Residual standard error: 2.94 on 407462 degrees of freedom
Multiple R-squared(full model): 0.4232   Adjusted R-squared: 0.3413 
Multiple R-squared(proj model): 3.529e-09   Adjusted R-squared: -0.1419 
F-statistic(full model, *iid*): 5.17 on 57818 and 407462 DF, p-value: < 2.2e-16 
F-statistic(proj model): 4.58e-05 on 1 and 187653 DF, p-value: 0.9946 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Stealcnt

summary(peer_ols_effect_stealcnt_lag_withmanager_update_last60)

Call:
   felm(formula = log(focalTotalStealCnt + 1) ~ log(avg_peerTotalStealCnt +      1) | factor(focalemployee) + factor(storekey) * factor(week) +      factor(storekey) * factor(weekday) + factor(storekey) * factor(year) +      factor(is_guard) + factor(managerkey1) | 0 | store_date,      data = peer_effect_with_manager_update_last60) 

Residuals:
    Min      1Q  Median      3Q     Max 
-1.3250 -0.0487 -0.0067  0.0076  3.9928 

Coefficients:
                                Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_peerTotalStealCnt + 1) -0.033961     0.003893  -8.725   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.203 on 407462 degrees of freedom
Multiple R-squared(full model): 0.1819   Adjusted R-squared: 0.06583 
Multiple R-squared(proj model): 0.0005945   Adjusted R-squared: -0.1412 
F-statistic(full model, *iid*):1.567 on 57818 and 407462 DF, p-value: < 2.2e-16 
F-statistic(proj model): 76.12 on 1 and 187653 DF, p-value: < 2.2e-16 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Stealamt

summary(peer_ols_effect_stealamt_lag_withmanager_update_last60)

Call:
   felm(formula = log(focalTotalStealAmount + 1) ~ log(avg_peerTotalStealAmount +      1) | factor(focalemployee) + factor(storekey) * factor(week) +      factor(storekey) * factor(weekday) + factor(storekey) * factor(year) +      factor(is_guard) + factor(managerkey1) | 0 | store_date,      data = peer_effect_with_manager_update_last60) 

Residuals:
    Min      1Q  Median      3Q     Max 
-5.2494 -0.1388 -0.0338  0.0222  6.9383 

Coefficients:
                                   Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_peerTotalStealAmount + 1) -0.011046     0.002614  -4.226 2.38e-05 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.5083 on 407462 degrees of freedom
Multiple R-squared(full model): 0.2964   Adjusted R-squared: 0.1965 
Multiple R-squared(proj model): 0.0001216   Adjusted R-squared: -0.1418 
F-statistic(full model, *iid*):2.968 on 57818 and 407462 DF, p-value: < 2.2e-16 
F-statistic(proj model): 17.86 on 1 and 187653 DF, p-value: 2.379e-05 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

Before & After

• Avg Tip OLS Before

summary(peer_ols_effect_AvgTip_lag_withmanager_update_beforeguard)

Call:
   felm(formula = focalAvgTip ~ avg_peerAvgTip | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(managerkey1) | 0 |      store_date, data = peer_effect_with_manager_update_beforeguard) 

Residuals:
    Min      1Q  Median      3Q     Max 
-2401.8    -1.1    -0.1     0.8 10547.9 

Coefficients:
               Estimate Cluster s.e. t value Pr(>|t|)
avg_peerAvgTip 0.008367     0.034694   0.241    0.809

Residual standard error: 39.61 on 718409 degrees of freedom
Multiple R-squared(full model): 0.1832   Adjusted R-squared: 0.1123 
Multiple R-squared(proj model): 1.299e-05   Adjusted R-squared: -0.08683 
F-statistic(full model, *iid*):2.583 on 62391 and 718409 DF, p-value: < 2.2e-16 
F-statistic(proj model): 0.05817 on 1 and 99305 DF, p-value: 0.8094 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Avg Tip IV Before

summary(peer_iv_effect_AvgTip_lag_withmanager_update_beforeguard)

Call:
   felm(formula = focalAvgTip ~ 1 | factor(focalemployee) + factor(storekey) *      factor(week) + factor(storekey) * factor(weekday) + factor(storekey) *      factor(year) + factor(managerkey1) | (avg_peerAvgTip ~ avg_lag_peerAvgTip) |      store_date, data = peer_effect_with_manager_update_beforeguard) 

Residuals:
    Min      1Q  Median      3Q     Max 
-2402.7    -1.1    -0.1     0.8 10555.2 

Coefficients:
                      Estimate Cluster s.e. t value Pr(>|t|)
`avg_peerAvgTip(fit)`   0.1355       0.1026   1.321    0.187

Residual standard error: 39.66 on 718409 degrees of freedom
Multiple R-squared(full model): 0.1808   Adjusted R-squared: 0.1096 
Multiple R-squared(proj model): -0.002986   Adjusted R-squared: -0.09009 
F-statistic(full model, *iid*):2.576 on 62391 and 718409 DF, p-value: < 2.2e-16 
F-statistic(proj model): 1.744 on 1 and 99305 DF, p-value: 0.1866 
F-statistic(endog. vars):1.744 on 1 and 99305 DF, p-value: 0.1866 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Avg Tip OLS After

summary(peer_ols_effect_AvgTip_lag_withmanager_update_afterguard)

Call:
   felm(formula = focalAvgTip ~ avg_peerAvgTip | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(managerkey1) | 0 |      store_date, data = peer_effect_with_manager_update_afterguard) 

Residuals:
    Min      1Q  Median      3Q     Max 
-341.51   -1.04   -0.13    0.77  866.49 

Coefficients:
                Estimate Cluster s.e. t value Pr(>|t|)
avg_peerAvgTip -0.003687     0.018309  -0.201     0.84

Residual standard error: 3.113 on 3082061 degrees of freedom
Multiple R-squared(full model): 0.3848   Adjusted R-squared: 0.3457 
Multiple R-squared(proj model): 4.311e-06   Adjusted R-squared: -0.06356 
F-statistic(full model, *iid*):9.841 on 195920 and 3082061 DF, p-value: < 2.2e-16 
F-statistic(proj model): 0.04055 on 1 and 547357 DF, p-value: 0.8404 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Avg Tip IV After

summary(peer_iv_effect_AvgTip_lag_withmanager_update_afterguard)

Call:
   felm(formula = focalAvgTip ~ 1 | factor(focalemployee) + factor(storekey) *      factor(week) + factor(storekey) * factor(weekday) + factor(storekey) *      factor(year) + factor(managerkey1) | (avg_peerAvgTip ~ avg_lag_peerAvgTip) |      store_date, data = peer_effect_with_manager_update_afterguard) 

Residuals:
    Min      1Q  Median      3Q     Max 
-340.16   -1.04   -0.13    0.77  866.51 

Coefficients:
                      Estimate Cluster s.e. t value Pr(>|t|)  
`avg_peerAvgTip(fit)`  0.04644      0.02561   1.813   0.0698 .
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 3.114 on 3082061 degrees of freedom
Multiple R-squared(full model): 0.3843   Adjusted R-squared: 0.3452 
Multiple R-squared(proj model): -0.0007925   Adjusted R-squared: -0.06441 
F-statistic(full model, *iid*):9.834 on 195920 and 3082061 DF, p-value: < 2.2e-16 
F-statistic(proj model): 3.289 on 1 and 547357 DF, p-value: 0.06976 
F-statistic(endog. vars):3.289 on 1 and 547357 DF, p-value: 0.06976 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Stealcnt OLS Before

summary(peer_ols_effect_stealcnt_lag_withmanager_update_beforeguard)

Call:
   felm(formula = focalTotalStealCnt ~ log(avg_peerTotalStealCnt +      1) | factor(focalemployee) + factor(storekey) * factor(week) +      factor(storekey) * factor(weekday) + factor(storekey) * factor(year) +      factor(managerkey1) | 0 | store_date, data = peer_effect_with_manager_update_beforeguard) 

Residuals:
    Min      1Q  Median      3Q     Max 
-17.378  -0.059  -0.006   0.010 195.750 

Coefficients:
                               Estimate Cluster s.e. t value Pr(>|t|)
log(avg_peerTotalStealCnt + 1) -0.03778      0.03908  -0.966    0.334

Residual standard error: 0.7741 on 718409 degrees of freedom
Multiple R-squared(full model): 0.1646   Adjusted R-squared: 0.09203 
Multiple R-squared(proj model): 4.948e-05   Adjusted R-squared: -0.08679 
F-statistic(full model, *iid*):2.268 on 62391 and 718409 DF, p-value: < 2.2e-16 
F-statistic(proj model): 0.9341 on 1 and 99305 DF, p-value: 0.3338 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Stealcnt IV Before

summary(peer_iv_effect_stealcnt_lag_withmanager_update_beforeguard)

Call:
   felm(formula = log(focalTotalStealCnt + 1) ~ 1 | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(managerkey1) | (log(avg_peerTotalStealCnt +      1) ~ log(avg_lag_peerTotalStealCnt + 1)) | store_date, data = peer_effect_with_manager_update_beforeguard) 

Residuals:
    Min      1Q  Median      3Q     Max 
-2.1850 -0.0334 -0.0049  0.0041  5.0657 

Coefficients:
                                      Estimate Cluster s.e. t value Pr(>|t|)
`log(avg_peerTotalStealCnt + 1)(fit)` 0.002852     0.027759   0.103    0.918

Residual standard error: 0.1918 on 718409 degrees of freedom
Multiple R-squared(full model): 0.2115   Adjusted R-squared: 0.143 
Multiple R-squared(proj model): -5.163e-05   Adjusted R-squared: -0.0869 
F-statistic(full model, *iid*):3.088 on 62391 and 718409 DF, p-value: < 2.2e-16 
F-statistic(proj model): 0.01056 on 1 and 99305 DF, p-value: 0.9182 
F-statistic(endog. vars):0.01056 on 1 and 99305 DF, p-value: 0.9182 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Stealcnt OLS After

summary(peer_ols_effect_stealcnt_lag_withmanager_update_afterguard)

Call:
   felm(formula = focalTotalStealCnt ~ log(avg_peerTotalStealCnt +      1) | factor(focalemployee) + factor(storekey) * factor(week) +      factor(storekey) * factor(weekday) + factor(storekey) * factor(year) +      factor(managerkey1) | 0 | store_date, data = peer_effect_with_manager_update_afterguard) 

Residuals:
    Min      1Q  Median      3Q     Max 
-15.607  -0.075  -0.015   0.010 171.447 

Coefficients:
                                Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_peerTotalStealCnt + 1) -0.061939     0.009764  -6.344 2.24e-10 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.5298 on 3082061 degrees of freedom
Multiple R-squared(full model): 0.09499   Adjusted R-squared: 0.03746 
Multiple R-squared(proj model): 0.000281   Adjusted R-squared: -0.06327 
F-statistic(full model, *iid*):1.651 on 195920 and 3082061 DF, p-value: < 2.2e-16 
F-statistic(proj model): 40.24 on 1 and 547357 DF, p-value: 2.242e-10 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Stealcnt IV After

summary(peer_iv_effect_stealcnt_lag_withmanager_update_afterguard)

Call:
   felm(formula = log(focalTotalStealCnt + 1) ~ 1 | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(managerkey1) | (log(avg_peerTotalStealCnt +      1) ~ log(avg_lag_peerTotalStealCnt + 1)) | store_date, data = peer_effect_with_manager_update_afterguard) 

Residuals:
    Min      1Q  Median      3Q     Max 
-1.5441 -0.0394 -0.0090  0.0041  5.0262 

Coefficients:
                                      Estimate Cluster s.e. t value Pr(>|t|)    
`log(avg_peerTotalStealCnt + 1)(fit)`  0.07460      0.01946   3.834 0.000126 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.1795 on 3082061 degrees of freedom
Multiple R-squared(full model): 0.105   Adjusted R-squared: 0.04811 
Multiple R-squared(proj model): -0.00534   Adjusted R-squared: -0.06925 
F-statistic(full model, *iid*):1.929 on 195920 and 3082061 DF, p-value: < 2.2e-16 
F-statistic(proj model):  14.7 on 1 and 547357 DF, p-value: 0.0001263 
F-statistic(endog. vars): 14.7 on 1 and 547357 DF, p-value: 0.0001263 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Stealamt OLS Before

summary(peer_ols_effect_stealamt_lag_withmanager_update_beforeguard)

Call:
   felm(formula = focalTotalStealAmount ~ log(avg_peerTotalStealAmount +      1) | factor(focalemployee) + factor(storekey) * factor(week) +      factor(storekey) * factor(weekday) + factor(storekey) * factor(year) +      factor(managerkey1) | 0 | store_date, data = peer_effect_with_manager_update_beforeguard) 

Residuals:
   Min     1Q Median     3Q    Max 
-690.6   -0.8   -0.1    0.2 5128.0 

Coefficients:
                                  Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_peerTotalStealAmount + 1)  -0.5249       0.1280  -4.101 4.12e-05 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 23.49 on 718409 degrees of freedom
Multiple R-squared(full model): 0.2835   Adjusted R-squared: 0.2213 
Multiple R-squared(proj model): 0.0001839   Adjusted R-squared: -0.08665 
F-statistic(full model, *iid*):4.556 on 62391 and 718409 DF, p-value: < 2.2e-16 
F-statistic(proj model): 16.82 on 1 and 99305 DF, p-value: 4.121e-05 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Stealamt IV Before

summary(peer_iv_effect_stealamt_lag_withmanager_update_beforeguard)

Call:
   felm(formula = log(focalTotalStealAmount + 1) ~ 1 | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(managerkey1) | (log(avg_peerTotalStealAmount +      1) ~ log(avg_lag_peerTotalStealAmount + 1)) | store_date,      data = peer_effect_with_manager_update_beforeguard) 

Residuals:
    Min      1Q  Median      3Q     Max 
-5.2124 -0.1329 -0.0366  0.0140  8.1748 

Coefficients:
                                         Estimate Cluster s.e. t value Pr(>|t|)    
`log(avg_peerTotalStealAmount + 1)(fit)` 0.030273     0.005607   5.399 6.69e-08 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.5682 on 718409 degrees of freedom
Multiple R-squared(full model): 0.3713   Adjusted R-squared: 0.3167 
Multiple R-squared(proj model): -0.001463   Adjusted R-squared: -0.08844 
F-statistic(full model, *iid*): 6.82 on 62391 and 718409 DF, p-value: < 2.2e-16 
F-statistic(proj model): 29.15 on 1 and 99305 DF, p-value: 6.704e-08 
F-statistic(endog. vars):29.15 on 1 and 99305 DF, p-value: 6.704e-08 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Stealamt OLS After

summary(peer_ols_effect_stealamt_lag_withmanager_update_afterguard)

Call:
   felm(formula = focalTotalStealAmount ~ log(avg_peerTotalStealAmount +      1) | factor(focalemployee) + factor(storekey) * factor(week) +      factor(storekey) * factor(weekday) + factor(storekey) * factor(year) +      factor(managerkey1) | 0 | store_date, data = peer_effect_with_manager_update_afterguard) 

Residuals:
   Min     1Q Median     3Q    Max 
-500.6   -0.6   -0.2    0.1 5855.4 

Coefficients:
                                  Estimate Cluster s.e. t value Pr(>|t|)   
log(avg_peerTotalStealAmount + 1) -0.18270      0.06208  -2.943  0.00325 **
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 13.56 on 3082061 degrees of freedom
Multiple R-squared(full model): 0.2736   Adjusted R-squared: 0.2275 
Multiple R-squared(proj model): 4.694e-05   Adjusted R-squared: -0.06352 
F-statistic(full model, *iid*):5.926 on 195920 and 3082061 DF, p-value: < 2.2e-16 
F-statistic(proj model): 8.662 on 1 and 547357 DF, p-value: 0.00325 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Stealamt IV After

summary(peer_iv_effect_stealamt_lag_withmanager_update_afterguard)

Call:
   felm(formula = log(focalTotalStealAmount + 1) ~ 1 | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(managerkey1) | (log(avg_peerTotalStealAmount +      1) ~ log(avg_lag_peerTotalStealAmount + 1)) | store_date,      data = peer_effect_with_manager_update_afterguard) 

Residuals:
    Min      1Q  Median      3Q     Max 
-4.9824 -0.1191 -0.0444  0.0045  8.2436 

Coefficients:
                                         Estimate Cluster s.e. t value Pr(>|t|)    
`log(avg_peerTotalStealAmount + 1)(fit)` 0.029188     0.004921   5.931 3.01e-09 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.4789 on 3082061 degrees of freedom
Multiple R-squared(full model): 0.1932   Adjusted R-squared: 0.1419 
Multiple R-squared(proj model): -0.001162   Adjusted R-squared: -0.0648 
F-statistic(full model, *iid*):3.786 on 195920 and 3082061 DF, p-value: < 2.2e-16 
F-statistic(proj model): 35.18 on 1 and 547357 DF, p-value: 3.01e-09 
F-statistic(endog. vars):35.18 on 1 and 547357 DF, p-value: 3.01e-09 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

Peer effect With new employee

• AvgTip OLS

summary(peer_ols_effect_AvgTip_lag_withmanager_update_with_new_first60)

Call:
   felm(formula = focalAvgTip ~ avg_peerAvgTip | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      0 | store_date, data = peer_effect_with_manager_update_date_with_new_first60) 

Residuals:
    Min      1Q  Median      3Q     Max 
-2389.5    -1.1    -0.1     0.8 10482.2 

Coefficients:
               Estimate Cluster s.e. t value Pr(>|t|)
avg_peerAvgTip  0.01291      0.04378   0.295    0.768

Residual standard error: 16.29 on 3361826 degrees of freedom
Multiple R-squared(full model): 0.2052   Adjusted R-squared: 0.1538 
Multiple R-squared(proj model): 2.653e-05   Adjusted R-squared: -0.06474 
F-statistic(full model, *iid*):3.987 on 217739 and 3361826 DF, p-value: < 2.2e-16 
F-statistic(proj model): 0.08692 on 1 and 541267 DF, p-value: 0.7681 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• AvgTip IV

summary(peer_iv_effect_AvgTip_lag_withmanager_update_with_new_first60)

Call:
   felm(formula = focalAvgTip ~ 1 | factor(focalemployee) + factor(storekey) *      factor(week) + factor(storekey) * factor(weekday) + factor(storekey) *      factor(year) + factor(is_guard) + factor(managerkey1) | (avg_peerAvgTip ~      avg_lag_peerAvgTip) | store_date, data = peer_effect_with_manager_update_date_with_new_first60) 

Residuals:
    Min      1Q  Median      3Q     Max 
-2390.8    -1.1    -0.1     0.8 10491.8 

Coefficients:
                      Estimate Cluster s.e. t value Pr(>|t|)
`avg_peerAvgTip(fit)`   0.1763       0.1198   1.473    0.141

Residual standard error: 16.32 on 3361826 degrees of freedom
Multiple R-squared(full model): 0.2019   Adjusted R-squared: 0.1502 
Multiple R-squared(proj model): -0.004228   Adjusted R-squared: -0.06927 
F-statistic(full model, *iid*):3.973 on 217739 and 3361826 DF, p-value: < 2.2e-16 
F-statistic(proj model): 2.169 on 1 and 541267 DF, p-value: 0.1409 
F-statistic(endog. vars):2.169 on 1 and 541267 DF, p-value: 0.1409 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Stealcnt OLS

summary(peer_ols_effect_stealcnt_lag_withmanager_update_with_new_first60)

Call:
   felm(formula = log(focalTotalStealCnt + 1) ~ log(avg_peerTotalStealCnt +      1) | factor(focalemployee) + factor(storekey) * factor(week) +      factor(storekey) * factor(weekday) + factor(storekey) * factor(year) +      factor(is_guard) + factor(managerkey1) | 0 | store_date,      data = peer_effect_with_manager_update_date_with_new_first60) 

Residuals:
    Min      1Q  Median      3Q     Max 
-2.1981 -0.0402 -0.0096  0.0037  5.0106 

Coefficients:
                                Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_peerTotalStealCnt + 1) -0.018486     0.002021  -9.148   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.1841 on 3361826 degrees of freedom
Multiple R-squared(full model): 0.125   Adjusted R-squared: 0.06835 
Multiple R-squared(proj model): 0.0002114   Adjusted R-squared: -0.06454 
F-statistic(full model, *iid*):2.206 on 217739 and 3361826 DF, p-value: < 2.2e-16 
F-statistic(proj model): 83.69 on 1 and 541267 DF, p-value: < 2.2e-16 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Stealcnt IV

summary(peer_iv_effect_stealcnt_lag_withmanager_update_with_new_first60)

Call:
   felm(formula = log(focalTotalStealCnt + 1) ~ 1 | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      (log(avg_peerTotalStealCnt + 1) ~ log(avg_lag_peerTotalStealCnt +          1)) | store_date, data = peer_effect_with_manager_update_date_with_new_first60) 

Residuals:
    Min      1Q  Median      3Q     Max 
-2.2082 -0.0399 -0.0091  0.0038  5.0371 

Coefficients:
                                      Estimate Cluster s.e. t value Pr(>|t|)   
`log(avg_peerTotalStealCnt + 1)(fit)`  0.05242      0.01675    3.13  0.00175 **
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.1844 on 3361826 degrees of freedom
Multiple R-squared(full model): 0.1223   Adjusted R-squared: 0.06545 
Multiple R-squared(proj model): -0.002899   Adjusted R-squared: -0.06785 
F-statistic(full model, *iid*):2.196 on 217739 and 3361826 DF, p-value: < 2.2e-16 
F-statistic(proj model): 9.795 on 1 and 541267 DF, p-value: 0.00175 
F-statistic(endog. vars):9.795 on 1 and 541267 DF, p-value: 0.00175 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Stealamt OLS

summary(peer_ols_effect_stealamt_lag_withmanager_update_with_new_first60)

Call:
   felm(formula = log(focalTotalStealAmount + 1) ~ log(avg_peerTotalStealAmount +      1) | factor(focalemployee) + factor(storekey) * factor(week) +      factor(storekey) * factor(weekday) + factor(storekey) * factor(year) +      factor(is_guard) + factor(managerkey1) | 0 | store_date,      data = peer_effect_with_manager_update_date_with_new_first60) 

Residuals:
    Min      1Q  Median      3Q     Max 
-5.0109 -0.1216 -0.0444  0.0047  8.2304 

Coefficients:
                                   Estimate Cluster s.e. t value Pr(>|t|)  
log(avg_peerTotalStealAmount + 1) -0.002538     0.001085   -2.34   0.0193 *
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.4937 on 3361826 degrees of freedom
Multiple R-squared(full model): 0.2247   Adjusted R-squared: 0.1744 
Multiple R-squared(proj model): 7.272e-06   Adjusted R-squared: -0.06476 
F-statistic(full model, *iid*):4.474 on 217739 and 3361826 DF, p-value: < 2.2e-16 
F-statistic(proj model): 5.476 on 1 and 541267 DF, p-value: 0.01928 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Stealamt IV

summary(peer_iv_effect_stealamt_lag_withmanager_update_with_new_first60)

Call:
   felm(formula = log(focalTotalStealAmount + 1) ~ 1 | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      (log(avg_peerTotalStealAmount + 1) ~ log(avg_lag_peerTotalStealAmount +          1)) | store_date, data = peer_effect_with_manager_update_date_with_new_first60) 

Residuals:
    Min      1Q  Median      3Q     Max 
-4.9912 -0.1221 -0.0439  0.0054  8.2584 

Coefficients:
                                         Estimate Cluster s.e. t value Pr(>|t|)    
`log(avg_peerTotalStealAmount + 1)(fit)` 0.029558     0.004038    7.32 2.47e-13 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.494 on 3361826 degrees of freedom
Multiple R-squared(full model): 0.2238   Adjusted R-squared: 0.1735 
Multiple R-squared(proj model): -0.001155   Adjusted R-squared: -0.066 
F-statistic(full model, *iid*):4.469 on 217739 and 3361826 DF, p-value: < 2.2e-16 
F-statistic(proj model): 53.59 on 1 and 541267 DF, p-value: 2.477e-13 
F-statistic(endog. vars):53.59 on 1 and 541267 DF, p-value: 2.477e-13 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

Peer effect without new employee

• Avgtip OLS

summary(peer_iv_effect_AvgTip_lag_withmanager_update_without_new_first60)

Call:
   felm(formula = focalAvgTip ~ 1 | factor(focalemployee) + factor(storekey) *      factor(week) + factor(storekey) * factor(weekday) + factor(storekey) *      factor(year) + factor(is_guard) + factor(managerkey1) | (avg_peerAvgTip ~      avg_lag_peerAvgTip) | store_date, data = peer_effect_with_manager_update_date_without_new_first60) 

Residuals:
   Min     1Q Median     3Q    Max 
-842.6   -0.9   -0.1    0.7 6159.0 

Coefficients:
                      Estimate Cluster s.e. t value Pr(>|t|)
`avg_peerAvgTip(fit)`  0.01333      0.10726   0.124    0.901

Residual standard error: 24.74 on 381053 degrees of freedom
Multiple R-squared(full model): 0.2409   Adjusted R-squared: 0.04531 
Multiple R-squared(proj model): -0.0006633   Adjusted R-squared: -0.2584 
F-statistic(full model, *iid*):1.234 on 98163 and 381053 DF, p-value: < 2.2e-16 
F-statistic(proj model): 0.01544 on 1 and 105395 DF, p-value: 0.9011 
F-statistic(endog. vars):0.01544 on 1 and 105395 DF, p-value: 0.9011 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Avgtip IV

summary(peer_iv_effect_AvgTip_lag_withmanager_update_without_new_first60)

Call:
   felm(formula = focalAvgTip ~ 1 | factor(focalemployee) + factor(storekey) *      factor(week) + factor(storekey) * factor(weekday) + factor(storekey) *      factor(year) + factor(is_guard) + factor(managerkey1) | (avg_peerAvgTip ~      avg_lag_peerAvgTip) | store_date, data = peer_effect_with_manager_update_date_without_new_first60) 

Residuals:
   Min     1Q Median     3Q    Max 
-842.6   -0.9   -0.1    0.7 6159.0 

Coefficients:
                      Estimate Cluster s.e. t value Pr(>|t|)
`avg_peerAvgTip(fit)`  0.01333      0.10726   0.124    0.901

Residual standard error: 24.74 on 381053 degrees of freedom
Multiple R-squared(full model): 0.2409   Adjusted R-squared: 0.04531 
Multiple R-squared(proj model): -0.0006633   Adjusted R-squared: -0.2584 
F-statistic(full model, *iid*):1.234 on 98163 and 381053 DF, p-value: < 2.2e-16 
F-statistic(proj model): 0.01544 on 1 and 105395 DF, p-value: 0.9011 
F-statistic(endog. vars):0.01544 on 1 and 105395 DF, p-value: 0.9011 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Stealcnt OLS

summary(peer_ols_effect_stealcnt_lag_withmanager_update_without_new_first60)

Call:
   felm(formula = log(focalTotalStealCnt + 1) ~ log(avg_peerTotalStealCnt +      1) | factor(focalemployee) + factor(storekey) * factor(week) +      factor(storekey) * factor(weekday) + factor(storekey) * factor(year) +      factor(is_guard) + factor(managerkey1) | 0 | store_date,      data = peer_effect_with_manager_update_date_without_new_first60) 

Residuals:
    Min      1Q  Median      3Q     Max 
-2.1539 -0.0196  0.0000  0.0055  3.9785 

Coefficients:
                                Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_peerTotalStealCnt + 1) -0.081959     0.006364  -12.88   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.1629 on 381053 degrees of freedom
Multiple R-squared(full model):  0.29   Adjusted R-squared: 0.1071 
Multiple R-squared(proj model): 0.00424   Adjusted R-squared: -0.2523 
F-statistic(full model, *iid*):1.586 on 98163 and 381053 DF, p-value: < 2.2e-16 
F-statistic(proj model): 165.9 on 1 and 105395 DF, p-value: < 2.2e-16 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Stealcnt IV

summary(peer_iv_effect_stealcnt_lag_withmanager_update_without_new_first60)

Call:
   felm(formula = log(focalTotalStealCnt + 1) ~ 1 | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      (log(avg_peerTotalStealCnt + 1) ~ log(avg_lag_peerTotalStealCnt +          1)) | store_date, data = peer_effect_with_manager_update_date_without_new_first60) 

Residuals:
    Min      1Q  Median      3Q     Max 
-2.2033 -0.0187  0.0000  0.0054  4.0421 

Coefficients:
                                      Estimate Cluster s.e. t value Pr(>|t|)
`log(avg_peerTotalStealCnt + 1)(fit)`  0.05254      0.04683   1.122    0.262

Residual standard error: 0.1639 on 381053 degrees of freedom
Multiple R-squared(full model): 0.2819   Adjusted R-squared: 0.09689 
Multiple R-squared(proj model): -0.007179   Adjusted R-squared: -0.2666 
F-statistic(full model, *iid*):1.552 on 98163 and 381053 DF, p-value: < 2.2e-16 
F-statistic(proj model): 1.259 on 1 and 105395 DF, p-value: 0.2619 
F-statistic(endog. vars):1.259 on 1 and 105395 DF, p-value: 0.2619 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Stealamt OLS

summary(peer_ols_effect_stealamt_lag_withmanager_update_without_new_first60)

Call:
   felm(formula = log(focalTotalStealAmount + 1) ~ log(avg_peerTotalStealAmount +      1) | factor(focalemployee) + factor(storekey) * factor(week) +      factor(storekey) * factor(weekday) + factor(storekey) * factor(year) +      factor(is_guard) + factor(managerkey1) | 0 | store_date,      data = peer_effect_with_manager_update_date_without_new_first60) 

Residuals:
    Min      1Q  Median      3Q     Max 
-5.1683 -0.1124 -0.0160  0.0310  7.4322 

Coefficients:
                                   Estimate Cluster s.e. t value Pr(>|t|)    
log(avg_peerTotalStealAmount + 1) -0.047703     0.003318  -14.38   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.5302 on 381053 degrees of freedom
Multiple R-squared(full model): 0.4362   Adjusted R-squared: 0.2909 
Multiple R-squared(proj model): 0.002564   Adjusted R-squared: -0.2544 
F-statistic(full model, *iid*):3.003 on 98163 and 381053 DF, p-value: < 2.2e-16 
F-statistic(proj model): 206.7 on 1 and 105395 DF, p-value: < 2.2e-16 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE

• Stealamt IV

summary(peer_iv_effect_stealamt_lag_withmanager_update_without_new_first60)

Call:
   felm(formula = log(focalTotalStealAmount + 1) ~ 1 | factor(focalemployee) +      factor(storekey) * factor(week) + factor(storekey) * factor(weekday) +      factor(storekey) * factor(year) + factor(is_guard) + factor(managerkey1) |      (log(avg_peerTotalStealAmount + 1) ~ log(avg_lag_peerTotalStealAmount +          1)) | store_date, data = peer_effect_with_manager_update_date_without_new_first60) 

Residuals:
    Min      1Q  Median      3Q     Max 
-5.1090 -0.1115 -0.0150  0.0305  7.4483 

Coefficients:
                                         Estimate Cluster s.e. t value Pr(>|t|)    
`log(avg_peerTotalStealAmount + 1)(fit)` 0.036779     0.009263   3.971 7.17e-05 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.5324 on 381053 degrees of freedom
Multiple R-squared(full model): 0.4316   Adjusted R-squared: 0.2852 
Multiple R-squared(proj model): -0.005477   Adjusted R-squared: -0.2645 
F-statistic(full model, *iid*):2.969 on 98163 and 381053 DF, p-value: < 2.2e-16 
F-statistic(proj model): 15.77 on 1 and 105395 DF, p-value: 7.172e-05 
F-statistic(endog. vars):15.77 on 1 and 105395 DF, p-value: 7.172e-05 
*** Standard errors may be too high due to more than 2 groups and exactDOF=FALSE