Police

Regressions

##                           pq_model   pq_model_outlays            p_model
## Dependent Var.:         log_pq_pol         log_pq_pol          log_p_pol
##                                                                         
## Constant         3.194*** (0.3757)   1.265** (0.4023)  3.757*** (0.1947)
## log_pop         0.9362*** (0.0230) 0.7197*** (0.0300) 0.0724*** (0.0119)
## log_med_income    -0.0530 (0.0354)   -0.0132 (0.0349) 0.3744*** (0.0184)
## log_crime       0.1006*** (0.0164) 0.0806*** (0.0164)   0.0154. (0.0085)
## log_outlays                        0.2146*** (0.0191)                   
## _______________ __________________ __________________ __________________
## S.E. type                      IID                IID                IID
## Observations                 1,642              1,567              1,642
## R2                         0.82098            0.84048            0.31840
## Adj. R2                    0.82065            0.84007            0.31716
## 
##                    p_model_outlays             q_model     q_model_outlays
## Dependent Var.:          log_p_pol           log_q_pol           log_q_pol
##                                                                           
## Constant         3.501*** (0.2175)    -0.5628 (0.3457)  -2.236*** (0.3701)
## log_pop         0.0633*** (0.0162)  0.8638*** (0.0211)  0.6564*** (0.0276)
## log_med_income  0.3943*** (0.0189) -0.4274*** (0.0326) -0.4074*** (0.0321)
## log_crime          0.0124 (0.0089)  0.0852*** (0.0151)  0.0683*** (0.0151)
## log_outlays        0.0086 (0.0103)                      0.2060*** (0.0176)
## _______________ __________________ ___________________ ___________________
## S.E. type                      IID                 IID                 IID
## Observations                 1,567               1,642               1,567
## R2                         0.33147             0.81680             0.83749
## Adj. R2                    0.32975             0.81646             0.83707
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Theories (Using Total Outlays Model)

RTW

Path Dependence: 1997 Crime

Politics

Violent to Propety Crime Ratio

Violent Crime Clearance Rate 2012-2022

Unsheltered Homeless Per Capita

Fire

Regressions

##                                pqF            pqF_out                 pF
## Dependent Var.:        log_pq_fire        log_pq_fire         log_p_fire
##                                                                         
## Constant          -0.1834 (0.5943) -2.255*** (0.6241)  2.384*** (0.3421)
## log_pop         0.8937*** (0.0276) 0.6386*** (0.0412) 0.1057*** (0.0159)
## log_med_income  0.3000*** (0.0578) 0.3116*** (0.0557) 0.4810*** (0.0333)
## log_fires_2017  0.1084*** (0.0249) 0.0801*** (0.0241)   -0.0044 (0.0143)
## log_outlays                        0.2588*** (0.0321)                   
## _______________ __________________ __________________ __________________
## S.E. type                      IID                IID                IID
## Observations                   678                667                678
## R2                         0.83515            0.85088            0.39348
## Adj. R2                    0.83442            0.84998            0.39078
## 
##                             pF_out                 qF             qF_out
## Dependent Var.:         log_p_fire         log_q_fire         log_q_fire
##                                                                         
## Constant         2.292*** (0.3728) -2.567*** (0.6004) -4.547*** (0.6339)
## log_pop         0.1057*** (0.0246) 0.7881*** (0.0279) 0.5329*** (0.0419)
## log_med_income  0.4921*** (0.0333) -0.1810** (0.0584) -0.1805** (0.0566)
## log_fires_2017    -0.0051 (0.0144) 0.1129*** (0.0251) 0.0853*** (0.0245)
## log_outlays       -0.0015 (0.0192)                    0.2604*** (0.0326)
## _______________ __________________ __________________ __________________
## S.E. type                      IID                IID                IID
## Observations                   667                678                667
## R2                         0.40370            0.78712            0.80602
## Adj. R2                    0.40010            0.78618            0.80485
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Theories (Using Total Outlays Model)

RTW

Politics

Unsheltered Homeless

Transit, Waste, Sewer

Regressions

##                                 pqT             pqT_out                 pT
## Dependent Var.:      log_pq_transit      log_pq_transit      log_p_transit
##                                                                           
## Constant          9.619*** (0.8639)   6.425*** (0.9308)  3.650*** (0.2275)
## log_pop          0.9138*** (0.0539)  0.4924*** (0.0692) 0.0473*** (0.0142)
## log_med_income  -0.7793*** (0.0830) -0.7636*** (0.0830) 0.3889*** (0.0218)
## log_crime        0.1386*** (0.0390)    0.0983* (0.0387)    0.0042 (0.0103)
## log_outlays                          0.4240*** (0.0441)                   
## _______________ ___________________ ___________________ __________________
## S.E. type                       IID                 IID                IID
## Observations                  1,350               1,297              1,350
## R2                          0.55453             0.58825            0.26271
## Adj. R2                     0.55353             0.58698            0.26107
## 
##                             pT_out                 qT             qT_out
## Dependent Var.:      log_p_transit      log_q_transit      log_q_transit
##                                                                         
## Constant         3.075*** (0.2519)  5.968*** (0.8664)  3.350*** (0.9371)
## log_pop            0.0034 (0.0187) 0.8666*** (0.0540) 0.4890*** (0.0697)
## log_med_income  0.4151*** (0.0225) -1.168*** (0.0832) -1.179*** (0.0835)
## log_crime         -0.0018 (0.0105) 0.1344*** (0.0391)   0.1000* (0.0390)
## log_outlays     0.0434*** (0.0119)                    0.3806*** (0.0444)
## _______________ __________________ __________________ __________________
## S.E. type                      IID                IID                IID
## Observations                 1,297              1,350              1,297
## R2                         0.28330            0.53991            0.57134
## Adj. R2                    0.28108            0.53889            0.57001
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Theories (Using Total Outlays Model)

RTW

Politics