##
## ===========================================================================================
## Dependent variable:
## -----------------------------------------------------------------------
## lemp
## (1) (2) (3) (4)
## -------------------------------------------------------------------------------------------
## linc 0.083 0.437***
## (0.094) (0.037)
##
## lpop 0.863*** 0.195***
## (0.014) (0.028)
##
## log_tot_crime 0.849*** 0.699***
## (0.012) (0.027)
##
## -------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE No No No No
## Observations 1,098 1,098 1,091 1,091
## R2 0.021 0.785 0.836 0.868
## Adjusted R2 0.015 0.783 0.835 0.867
## Residual Std. Error 0.520 (df = 1090) 0.244 (df = 1090) 0.213 (df = 1083) 0.191 (df = 1081)
## ===========================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===========================================================================================
## Dependent variable:
## -----------------------------------------------------------------------
## lemp
## (1) (2) (3) (4)
## -------------------------------------------------------------------------------------------
## linc -0.642*** 0.517***
## (0.115) (0.048)
##
## lpop 0.839*** 0.096***
## (0.016) (0.027)
##
## log_tot_crime 0.868*** 0.828***
## (0.012) (0.027)
##
## -------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE Yes Yes Yes Yes
## Observations 1,098 1,098 1,091 1,091
## R2 0.352 0.813 0.890 0.903
## Adjusted R2 0.317 0.803 0.884 0.898
## Residual Std. Error 0.433 (df = 1040) 0.232 (df = 1040) 0.179 (df = 1033) 0.167 (df = 1031)
## ===========================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===============================================================================================================
## Dependent variable:
## -------------------------------------------------------------------------------------------
## total_pay
## (1) (2) (3) (4)
## ---------------------------------------------------------------------------------------------------------------
## linc 67,321.000*** 78,426.000***
## (3,552.000) (3,310.000)
##
## lpop 15,627.000*** -6,782.000***
## (1,204.000) (2,494.000)
##
## log_tot_crime 14,104.000*** 23,398.000***
## (1,158.000) (2,398.000)
##
## ---------------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE No No No No
## Observations 1,098 1,098 1,091 1,091
## R2 0.312 0.207 0.192 0.476
## Adjusted R2 0.307 0.202 0.187 0.472
## Residual Std. Error 19,714.000 (df = 1090) 21,156.000 (df = 1090) 21,277.000 (df = 1083) 17,149.000 (df = 1081)
## ===============================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===============================================================================================================
## Dependent variable:
## -------------------------------------------------------------------------------------------
## total_pay
## (1) (2) (3) (4)
## ---------------------------------------------------------------------------------------------------------------
## linc 6,285.000 26,621.000***
## (3,918.000) (3,843.000)
##
## lpop 10,244.000*** -8,089.000***
## (977.000) (2,127.000)
##
## log_tot_crime 11,996.000*** 21,124.000***
## (919.000) (2,113.000)
##
## ---------------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE Yes Yes Yes Yes
## Observations 1,098 1,098 1,091 1,091
## R2 0.635 0.669 0.684 0.700
## Adjusted R2 0.615 0.651 0.667 0.683
## Residual Std. Error 14,702.000 (df = 1040) 13,999.000 (df = 1040) 13,624.000 (df = 1033) 13,292.000 (df = 1031)
## ===============================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===============================================================================================================
## Dependent variable:
## -------------------------------------------------------------------------------------------
## base_pay
## (1) (2) (3) (4)
## ---------------------------------------------------------------------------------------------------------------
## linc 61,963.000*** 70,213.000***
## (2,626.000) (2,454.000)
##
## lpop 11,425.000*** -5,047.000***
## (959.000) (1,849.000)
##
## log_tot_crime 9,780.000*** 17,213.000***
## (927.000) (1,778.000)
##
## ---------------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE No No No No
## Observations 1,098 1,098 1,091 1,091
## R2 0.398 0.196 0.173 0.540
## Adjusted R2 0.395 0.191 0.168 0.536
## Residual Std. Error 14,573.000 (df = 1090) 16,850.000 (df = 1090) 17,030.000 (df = 1083) 12,714.000 (df = 1081)
## ===============================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ==============================================================================================================
## Dependent variable:
## ------------------------------------------------------------------------------------------
## base_pay
## (1) (2) (3) (4)
## --------------------------------------------------------------------------------------------------------------
## linc 14,906.000*** 30,024.000***
## (2,819.000) (2,751.000)
##
## lpop 7,200.000*** -5,315.000***
## (714.000) (1,522.000)
##
## log_tot_crime 8,059.000*** 15,085.000***
## (678.000) (1,512.000)
##
## --------------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE Yes Yes Yes Yes
## Observations 1,098 1,098 1,091 1,091
## R2 0.698 0.717 0.726 0.754
## Adjusted R2 0.681 0.702 0.710 0.740
## Residual Std. Error 10,577.000 (df = 1040) 10,230.000 (df = 1040) 10,046.000 (df = 1033) 9,513.000 (df = 1031)
## ==============================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===========================================================================================================
## Dependent variable:
## ---------------------------------------------------------------------------------------
## overtime_pay
## (1) (2) (3) (4)
## -----------------------------------------------------------------------------------------------------------
## linc 5,358.000*** 8,212.000***
## (1,639.000) (1,687.000)
##
## lpop 4,202.000*** -1,735.000
## (505.000) (1,271.000)
##
## log_tot_crime 4,324.000*** 6,185.000***
## (480.000) (1,222.000)
##
## -----------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE No No No No
## Observations 1,098 1,098 1,091 1,091
## R2 0.042 0.090 0.099 0.118
## Adjusted R2 0.036 0.084 0.093 0.111
## Residual Std. Error 9,098.000 (df = 1090) 8,865.000 (df = 1090) 8,828.000 (df = 1083) 8,740.000 (df = 1081)
## ===========================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===========================================================================================================
## Dependent variable:
## ---------------------------------------------------------------------------------------
## overtime_pay
## (1) (2) (3) (4)
## -----------------------------------------------------------------------------------------------------------
## linc -8,620.000*** -3,402.000
## (2,168.000) (2,308.000)
##
## lpop 3,044.000*** -2,774.000**
## (564.000) (1,277.000)
##
## log_tot_crime 3,937.000*** 6,039.000***
## (540.000) (1,269.000)
##
## -----------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE Yes Yes Yes Yes
## Observations 1,098 1,098 1,091 1,091
## R2 0.269 0.278 0.293 0.299
## Adjusted R2 0.229 0.238 0.254 0.259
## Residual Std. Error 8,136.000 (df = 1040) 8,085.000 (df = 1040) 8,005.000 (df = 1033) 7,980.000 (df = 1031)
## ===========================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===============================================================================================================
## Dependent variable:
## -------------------------------------------------------------------------------------------
## total_pay_25
## (1) (2) (3) (4)
## ---------------------------------------------------------------------------------------------------------------
## linc 64,819.000*** 73,189.000***
## (2,997.000) (2,924.000)
##
## lpop 10,716.000*** -6,421.000***
## (1,084.000) (2,203.000)
##
## log_tot_crime 9,158.000*** 17,911.000***
## (1,043.000) (2,118.000)
##
## ---------------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE No No No No
## Observations 1,098 1,098 1,091 1,091
## R2 0.361 0.161 0.144 0.467
## Adjusted R2 0.356 0.156 0.139 0.462
## Residual Std. Error 16,636.000 (df = 1090) 19,052.000 (df = 1090) 19,172.000 (df = 1083) 15,148.000 (df = 1081)
## ===============================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===============================================================================================================
## Dependent variable:
## -------------------------------------------------------------------------------------------
## total_pay_25
## (1) (2) (3) (4)
## ---------------------------------------------------------------------------------------------------------------
## linc 13,351.000*** 26,825.000***
## (3,314.000) (3,390.000)
##
## lpop 5,772.000*** -6,950.000***
## (856.000) (1,876.000)
##
## log_tot_crime 6,937.000*** 15,105.000***
## (816.000) (1,864.000)
##
## ---------------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE Yes Yes Yes Yes
## Observations 1,098 1,098 1,091 1,091
## R2 0.659 0.668 0.675 0.695
## Adjusted R2 0.641 0.650 0.657 0.678
## Residual Std. Error 12,434.000 (df = 1040) 12,265.000 (df = 1040) 12,091.000 (df = 1033) 11,726.000 (df = 1031)
## ===============================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===============================================================================================================
## Dependent variable:
## -------------------------------------------------------------------------------------------
## total_pay_75
## (1) (2) (3) (4)
## ---------------------------------------------------------------------------------------------------------------
## linc 67,539.000*** 80,327.000***
## (4,052.000) (3,713.000)
##
## lpop 19,018.000*** -6,657.000**
## (1,313.000) (2,797.000)
##
## log_tot_crime 17,532.000*** 26,801.000***
## (1,261.000) (2,690.000)
##
## ---------------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE No No No No
## Observations 1,098 1,098 1,091 1,091
## R2 0.267 0.228 0.217 0.461
## Adjusted R2 0.262 0.223 0.212 0.457
## Residual Std. Error 22,489.000 (df = 1090) 23,070.000 (df = 1090) 23,167.000 (df = 1083) 19,236.000 (df = 1081)
## ===============================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===============================================================================================================
## Dependent variable:
## -------------------------------------------------------------------------------------------
## total_pay_75
## (1) (2) (3) (4)
## ---------------------------------------------------------------------------------------------------------------
## linc -410.000 24,338.000***
## (4,563.000) (4,419.000)
##
## lpop 13,439.000*** -8,398.000***
## (1,120.000) (2,446.000)
##
## log_tot_crime 15,576.000*** 24,783.000***
## (1,048.000) (2,430.000)
##
## ---------------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE Yes Yes Yes Yes
## Observations 1,098 1,098 1,091 1,091
## R2 0.595 0.644 0.664 0.676
## Adjusted R2 0.572 0.624 0.646 0.657
## Residual Std. Error 17,121.000 (df = 1040) 16,046.000 (df = 1040) 15,533.000 (df = 1033) 15,283.000 (df = 1031)
## ===============================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## =======================================================================================
## Dependent variable:
## -------------------------------------------------------------------
## lemp
## (1) (2) (3) (4)
## ---------------------------------------------------------------------------------------
## linc 0.088 0.734***
## (0.140) (0.078)
##
## lpop 0.764*** 0.170***
## (0.022) (0.050)
##
## log_tot_crime 0.774*** 0.669***
## (0.022) (0.050)
##
## ---------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE No No No No
## Observations 639 639 632 632
## R2 0.006 0.653 0.675 0.731
## Adjusted R2 -0.005 0.649 0.671 0.727
## Residual Std. Error 0.498 (df = 631) 0.294 (df = 631) 0.282 (df = 624) 0.257 (df = 622)
## =======================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## =======================================================================================
## Dependent variable:
## -------------------------------------------------------------------
## lemp
## (1) (2) (3) (4)
## ---------------------------------------------------------------------------------------
## linc -0.986*** 0.291***
## (0.170) (0.089)
##
## lpop 0.747*** 0.052
## (0.022) (0.044)
##
## log_tot_crime 0.819*** 0.792***
## (0.018) (0.046)
##
## ---------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE Yes Yes Yes Yes
## Observations 639 639 632 632
## R2 0.285 0.747 0.824 0.828
## Adjusted R2 0.231 0.727 0.810 0.814
## Residual Std. Error 0.435 (df = 593) 0.259 (df = 593) 0.214 (df = 587) 0.212 (df = 585)
## =======================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===========================================================================================================
## Dependent variable:
## ---------------------------------------------------------------------------------------
## total_pay
## (1) (2) (3) (4)
## -----------------------------------------------------------------------------------------------------------
## linc 110,323.000*** 128,485.000***
## (7,395.000) (7,242.000)
##
## lpop 14,661.000*** -8,314.000*
## (2,245.000) (4,613.000)
##
## log_tot_crime 12,287.000*** 28,163.000***
## (2,255.000) (4,695.000)
##
## -----------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE No No No No
## Observations 639 639 632 632
## R2 0.319 0.137 0.121 0.423
## Adjusted R2 0.311 0.127 0.111 0.415
## Residual Std. Error 26,369.000 (df = 631) 29,683.000 (df = 631) 29,452.000 (df = 624) 23,906.000 (df = 622)
## ===========================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===========================================================================================================
## Dependent variable:
## ---------------------------------------------------------------------------------------
## total_pay
## (1) (2) (3) (4)
## -----------------------------------------------------------------------------------------------------------
## linc 51,095.000*** 76,065.000***
## (7,811.000) (7,776.000)
##
## lpop 10,435.000*** -1,541.000
## (1,691.000) (3,865.000)
##
## log_tot_crime 11,160.000*** 18,190.000***
## (1,718.000) (4,049.000)
##
## -----------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE Yes Yes Yes Yes
## Observations 639 639 632 632
## R2 0.630 0.627 0.618 0.672
## Adjusted R2 0.602 0.599 0.589 0.646
## Residual Std. Error 20,044.000 (df = 593) 20,119.000 (df = 593) 20,021.000 (df = 587) 18,577.000 (df = 585)
## ===========================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===========================================================================================================
## Dependent variable:
## ---------------------------------------------------------------------------------------
## base_pay
## (1) (2) (3) (4)
## -----------------------------------------------------------------------------------------------------------
## linc 69,712.000*** 81,706.000***
## (4,202.000) (4,174.000)
##
## lpop 7,019.000*** -7,907.000***
## (1,329.000) (2,658.000)
##
## log_tot_crime 5,802.000*** 18,266.000***
## (1,343.000) (2,706.000)
##
## -----------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE No No No No
## Observations 639 639 632 632
## R2 0.347 0.102 0.088 0.439
## Adjusted R2 0.340 0.092 0.078 0.431
## Residual Std. Error 14,985.000 (df = 631) 17,573.000 (df = 631) 17,543.000 (df = 624) 13,778.000 (df = 622)
## ===========================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===========================================================================================================
## Dependent variable:
## ---------------------------------------------------------------------------------------
## base_pay
## (1) (2) (3) (4)
## -----------------------------------------------------------------------------------------------------------
## linc 28,826.000*** 44,918.000***
## (4,621.000) (4,638.000)
##
## lpop 5,097.000*** -6,088.000***
## (1,007.000) (2,305.000)
##
## log_tot_crime 6,229.000*** 15,196.000***
## (1,024.000) (2,415.000)
##
## -----------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE Yes Yes Yes Yes
## Observations 639 639 632 632
## R2 0.616 0.608 0.603 0.659
## Adjusted R2 0.587 0.578 0.574 0.632
## Residual Std. Error 11,858.000 (df = 593) 11,985.000 (df = 593) 11,928.000 (df = 587) 11,080.000 (df = 585)
## ===========================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===========================================================================================================
## Dependent variable:
## ---------------------------------------------------------------------------------------
## overtime_pay
## (1) (2) (3) (4)
## -----------------------------------------------------------------------------------------------------------
## linc 40,611.000*** 46,779.000***
## (4,988.000) (5,145.000)
##
## lpop 7,643.000*** -407.000
## (1,381.000) (3,277.000)
##
## log_tot_crime 6,485.000*** 9,897.000***
## (1,388.000) (3,335.000)
##
## -----------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE No No No No
## Observations 639 639 632 632
## R2 0.150 0.104 0.095 0.208
## Adjusted R2 0.141 0.094 0.084 0.196
## Residual Std. Error 17,785.000 (df = 631) 18,259.000 (df = 631) 18,127.000 (df = 624) 16,984.000 (df = 622)
## ===========================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===========================================================================================================
## Dependent variable:
## ---------------------------------------------------------------------------------------
## overtime_pay
## (1) (2) (3) (4)
## -----------------------------------------------------------------------------------------------------------
## linc 22,269.000*** 31,146.000***
## (5,493.000) (5,696.000)
##
## lpop 5,338.000*** 4,547.000
## (1,181.000) (2,831.000)
##
## log_tot_crime 4,930.000*** 2,994.000
## (1,201.000) (2,965.000)
##
## -----------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE Yes Yes Yes Yes
## Observations 639 639 632 632
## R2 0.498 0.502 0.492 0.522
## Adjusted R2 0.460 0.464 0.454 0.484
## Residual Std. Error 14,096.000 (df = 593) 14,050.000 (df = 593) 13,994.000 (df = 587) 13,607.000 (df = 585)
## ===========================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===========================================================================================================
## Dependent variable:
## ---------------------------------------------------------------------------------------
## total_pay_25
## (1) (2) (3) (4)
## -----------------------------------------------------------------------------------------------------------
## linc 99,038.000*** 109,875.000***
## (6,505.000) (6,686.000)
##
## lpop 7,158.000*** -8,988.000**
## (2,032.000) (4,258.000)
##
## log_tot_crime 4,858.000** 20,132.000***
## (2,028.000) (4,334.000)
##
## -----------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE No No No No
## Observations 639 639 632 632
## R2 0.323 0.092 0.085 0.366
## Adjusted R2 0.315 0.082 0.074 0.357
## Residual Std. Error 23,197.000 (df = 631) 26,862.000 (df = 631) 26,481.000 (df = 624) 22,068.000 (df = 622)
## ===========================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===========================================================================================================
## Dependent variable:
## ---------------------------------------------------------------------------------------
## total_pay_25
## (1) (2) (3) (4)
## -----------------------------------------------------------------------------------------------------------
## linc 51,300.000*** 62,849.000***
## (6,926.000) (7,264.000)
##
## lpop 3,218.000** -1,952.000
## (1,556.000) (3,610.000)
##
## log_tot_crime 3,357.000** 9,797.000***
## (1,579.000) (3,782.000)
##
## -----------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE Yes Yes Yes Yes
## Observations 639 639 632 632
## R2 0.626 0.595 0.584 0.632
## Adjusted R2 0.598 0.564 0.553 0.603
## Residual Std. Error 17,773.000 (df = 593) 18,510.000 (df = 593) 18,406.000 (df = 587) 17,353.000 (df = 585)
## ===========================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===========================================================================================================
## Dependent variable:
## ---------------------------------------------------------------------------------------
## total_pay_75
## (1) (2) (3) (4)
## -----------------------------------------------------------------------------------------------------------
## linc 119,511.000*** 142,995.000***
## (8,472.000) (8,092.000)
##
## lpop 19,933.000*** -8,132.000
## (2,498.000) (5,154.000)
##
## log_tot_crime 17,479.000*** 34,135.000***
## (2,519.000) (5,246.000)
##
## -----------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE No No No No
## Observations 639 639 632 632
## R2 0.300 0.163 0.145 0.438
## Adjusted R2 0.292 0.154 0.135 0.430
## Residual Std. Error 30,210.000 (df = 631) 33,021.000 (df = 631) 32,891.000 (df = 624) 26,712.000 (df = 622)
## ===========================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===========================================================================================================
## Dependent variable:
## ---------------------------------------------------------------------------------------
## total_pay_75
## (1) (2) (3) (4)
## -----------------------------------------------------------------------------------------------------------
## linc 52,428.000*** 87,157.000***
## (9,118.000) (8,804.000)
##
## lpop 15,489.000*** -1,577.000
## (1,918.000) (4,375.000)
##
## log_tot_crime 16,642.000*** 24,522.000***
## (1,948.000) (4,584.000)
##
## -----------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE Yes Yes Yes Yes
## Observations 639 639 632 632
## R2 0.605 0.624 0.617 0.672
## Adjusted R2 0.575 0.596 0.588 0.646
## Residual Std. Error 23,398.000 (df = 593) 22,819.000 (df = 593) 22,707.000 (df = 587) 21,032.000 (df = 585)
## ===========================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===========================================================================================
## Dependent variable:
## -----------------------------------------------------------------------
## lemp
## (1) (2) (3) (4)
## -------------------------------------------------------------------------------------------
## linc 0.496*** 0.600***
## (0.089) (0.061)
##
## lpop 0.660*** 0.129***
## (0.019) (0.046)
##
## log_tot_crime 0.645*** 0.545***
## (0.018) (0.044)
##
## -------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE No No No No
## Observations 1,074 1,074 1,066 1,066
## R2 0.043 0.529 0.548 0.599
## Adjusted R2 0.036 0.526 0.545 0.596
## Residual Std. Error 0.485 (df = 1066) 0.340 (df = 1066) 0.332 (df = 1058) 0.313 (df = 1056)
## ===========================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===========================================================================================
## Dependent variable:
## -----------------------------------------------------------------------
## lemp
## (1) (2) (3) (4)
## -------------------------------------------------------------------------------------------
## linc -0.354*** 0.335***
## (0.112) (0.086)
##
## lpop 0.587*** 0.050
## (0.023) (0.048)
##
## log_tot_crime 0.609*** 0.589***
## (0.021) (0.048)
##
## -------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE Yes Yes Yes Yes
## Observations 1,074 1,074 1,066 1,066
## R2 0.342 0.601 0.646 0.652
## Adjusted R2 0.305 0.579 0.626 0.632
## Residual Std. Error 0.412 (df = 1016) 0.320 (df = 1016) 0.301 (df = 1008) 0.299 (df = 1006)
## ===========================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===============================================================================================================
## Dependent variable:
## -------------------------------------------------------------------------------------------
## total_pay
## (1) (2) (3) (4)
## ---------------------------------------------------------------------------------------------------------------
## linc 83,991.000*** 91,910.000***
## (4,826.000) (4,505.000)
##
## lpop 22,057.000*** -4,754.000
## (1,563.000) (3,426.000)
##
## log_tot_crime 20,595.000*** 26,807.000***
## (1,523.000) (3,302.000)
##
## ---------------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE No No No No
## Observations 1,074 1,074 1,066 1,066
## R2 0.294 0.236 0.226 0.454
## Adjusted R2 0.289 0.231 0.221 0.449
## Residual Std. Error 26,440.000 (df = 1066) 27,501.000 (df = 1066) 27,712.000 (df = 1058) 23,301.000 (df = 1056)
## ===============================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===============================================================================================================
## Dependent variable:
## -------------------------------------------------------------------------------------------
## total_pay
## (1) (2) (3) (4)
## ---------------------------------------------------------------------------------------------------------------
## linc 16,343.000*** 38,871.000***
## (5,741.000) (5,667.000)
##
## lpop 14,151.000*** -3,400.000
## (1,429.000) (3,174.000)
##
## log_tot_crime 15,603.000*** 21,324.000***
## (1,370.000) (3,149.000)
##
## ---------------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE Yes Yes Yes Yes
## Observations 1,074 1,074 1,066 1,066
## R2 0.569 0.603 0.615 0.632
## Adjusted R2 0.544 0.581 0.593 0.610
## Residual Std. Error 21,171.000 (df = 1016) 20,298.000 (df = 1016) 20,029.000 (df = 1008) 19,596.000 (df = 1006)
## ===============================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===============================================================================================================
## Dependent variable:
## -------------------------------------------------------------------------------------------
## base_pay
## (1) (2) (3) (4)
## ---------------------------------------------------------------------------------------------------------------
## linc 73,226.000*** 79,968.000***
## (4,496.000) (4,390.000)
##
## lpop 16,522.000*** -4,677.000
## (1,480.000) (3,339.000)
##
## log_tot_crime 15,379.000*** 21,259.000***
## (1,439.000) (3,218.000)
##
## ---------------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE No No No No
## Observations 1,074 1,074 1,066 1,066
## R2 0.265 0.178 0.172 0.378
## Adjusted R2 0.260 0.173 0.166 0.372
## Residual Std. Error 24,632.000 (df = 1066) 26,046.000 (df = 1066) 26,174.000 (df = 1058) 22,708.000 (df = 1056)
## ===============================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===============================================================================================================
## Dependent variable:
## -------------------------------------------------------------------------------------------
## base_pay
## (1) (2) (3) (4)
## ---------------------------------------------------------------------------------------------------------------
## linc 20,800.000*** 39,428.000***
## (5,810.000) (5,889.000)
##
## lpop 10,614.000*** -3,427.000
## (1,481.000) (3,299.000)
##
## log_tot_crime 11,976.000*** 17,761.000***
## (1,423.000) (3,273.000)
##
## ---------------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE Yes Yes Yes Yes
## Observations 1,074 1,074 1,066 1,066
## R2 0.470 0.489 0.502 0.523
## Adjusted R2 0.440 0.460 0.474 0.495
## Residual Std. Error 21,425.000 (df = 1016) 21,034.000 (df = 1016) 20,795.000 (df = 1008) 20,367.000 (df = 1006)
## ===============================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===============================================================================================================
## Dependent variable:
## -------------------------------------------------------------------------------------------
## overtime_pay
## (1) (2) (3) (4)
## ---------------------------------------------------------------------------------------------------------------
## linc 10,765.000*** 11,942.000***
## (2,079.000) (2,122.000)
##
## lpop 5,535.000*** -77.000
## (633.000) (1,614.000)
##
## log_tot_crime 5,216.000*** 5,548.000***
## (613.000) (1,556.000)
##
## ---------------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE No No No No
## Observations 1,074 1,074 1,066 1,066
## R2 0.043 0.084 0.080 0.109
## Adjusted R2 0.037 0.078 0.074 0.102
## Residual Std. Error 11,391.000 (df = 1066) 11,141.000 (df = 1066) 11,146.000 (df = 1058) 10,978.000 (df = 1056)
## ===============================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===============================================================================================================
## Dependent variable:
## -------------------------------------------------------------------------------------------
## overtime_pay
## (1) (2) (3) (4)
## ---------------------------------------------------------------------------------------------------------------
## linc -4,457.000 -557.000
## (2,832.000) (2,984.000)
##
## lpop 3,536.000*** 27.600
## (728.000) (1,672.000)
##
## log_tot_crime 3,627.000*** 3,563.000**
## (705.000) (1,659.000)
##
## ---------------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE Yes Yes Yes Yes
## Observations 1,074 1,074 1,066 1,066
## R2 0.233 0.249 0.250 0.250
## Adjusted R2 0.190 0.207 0.208 0.206
## Residual Std. Error 10,442.000 (df = 1016) 10,336.000 (df = 1016) 10,310.000 (df = 1008) 10,320.000 (df = 1006)
## ===============================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===============================================================================================================
## Dependent variable:
## -------------------------------------------------------------------------------------------
## total_pay_25
## (1) (2) (3) (4)
## ---------------------------------------------------------------------------------------------------------------
## linc 72,736.000*** 78,736.000***
## (4,614.000) (4,555.000)
##
## lpop 16,246.000*** -3,556.000
## (1,515.000) (3,465.000)
##
## log_tot_crime 14,860.000*** 19,728.000***
## (1,476.000) (3,340.000)
##
## ---------------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE No No No No
## Observations 1,074 1,074 1,066 1,066
## R2 0.252 0.168 0.158 0.353
## Adjusted R2 0.248 0.162 0.153 0.347
## Residual Std. Error 25,277.000 (df = 1066) 26,668.000 (df = 1066) 26,848.000 (df = 1058) 23,564.000 (df = 1056)
## ===============================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===============================================================================================================
## Dependent variable:
## -------------------------------------------------------------------------------------------
## total_pay_25
## (1) (2) (3) (4)
## ---------------------------------------------------------------------------------------------------------------
## linc 15,817.000*** 31,620.000***
## (5,772.000) (5,931.000)
##
## lpop 9,698.000*** -1,745.000
## (1,473.000) (3,322.000)
##
## log_tot_crime 10,656.000*** 14,426.000***
## (1,422.000) (3,296.000)
##
## ---------------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE Yes Yes Yes Yes
## Observations 1,074 1,074 1,066 1,066
## R2 0.495 0.512 0.520 0.533
## Adjusted R2 0.467 0.485 0.492 0.506
## Residual Std. Error 21,283.000 (df = 1016) 20,920.000 (df = 1016) 20,780.000 (df = 1008) 20,511.000 (df = 1006)
## ===============================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===============================================================================================================
## Dependent variable:
## -------------------------------------------------------------------------------------------
## total_pay_75
## (1) (2) (3) (4)
## ---------------------------------------------------------------------------------------------------------------
## linc 91,968.000*** 100,811.000***
## (5,316.000) (4,824.000)
##
## lpop 26,617.000*** -4,670.000
## (1,686.000) (3,670.000)
##
## log_tot_crime 24,964.000*** 31,299.000***
## (1,644.000) (3,537.000)
##
## ---------------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE No No No No
## Observations 1,074 1,074 1,066 1,066
## R2 0.293 0.267 0.255 0.482
## Adjusted R2 0.289 0.262 0.250 0.478
## Residual Std. Error 29,122.000 (df = 1066) 29,671.000 (df = 1066) 29,909.000 (df = 1058) 24,956.000 (df = 1056)
## ===============================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===============================================================================================================
## Dependent variable:
## -------------------------------------------------------------------------------------------
## total_pay_75
## (1) (2) (3) (4)
## ---------------------------------------------------------------------------------------------------------------
## linc 16,403.000*** 43,302.000***
## (6,234.000) (6,023.000)
##
## lpop 17,725.000*** -3,298.000
## (1,525.000) (3,374.000)
##
## log_tot_crime 19,296.000*** 25,245.000***
## (1,460.000) (3,347.000)
##
## ---------------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE Yes Yes Yes Yes
## Observations 1,074 1,074 1,066 1,066
## R2 0.580 0.627 0.639 0.657
## Adjusted R2 0.557 0.606 0.618 0.636
## Residual Std. Error 22,987.000 (df = 1016) 21,670.000 (df = 1016) 21,337.000 (df = 1008) 20,829.000 (df = 1006)
## ===============================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## =======================================================================================
## Dependent variable:
## -------------------------------------------------------------------
## lemp
## (1) (2) (3) (4)
## ---------------------------------------------------------------------------------------
## linc 0.139 0.575***
## (0.123) (0.054)
##
## lpop 0.740*** 0.116***
## (0.016) (0.035)
##
## log_tot_crime 0.731*** 0.653***
## (0.014) (0.034)
##
## ---------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE No No No No
## Observations 713 713 705 705
## R2 0.020 0.748 0.794 0.833
## Adjusted R2 0.010 0.745 0.792 0.831
## Residual Std. Error 0.472 (df = 705) 0.239 (df = 705) 0.212 (df = 697) 0.191 (df = 695)
## =======================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## =======================================================================================
## Dependent variable:
## -------------------------------------------------------------------
## lemp
## (1) (2) (3) (4)
## ---------------------------------------------------------------------------------------
## linc -0.934*** 0.385***
## (0.154) (0.069)
##
## lpop 0.712*** 0.025
## (0.017) (0.034)
##
## log_tot_crime 0.738*** 0.743***
## (0.013) (0.034)
##
## ---------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE Yes Yes Yes Yes
## Observations 713 713 705 705
## R2 0.308 0.793 0.870 0.876
## Adjusted R2 0.256 0.777 0.860 0.867
## Residual Std. Error 0.409 (df = 662) 0.224 (df = 662) 0.174 (df = 655) 0.170 (df = 653)
## =======================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===========================================================================================================
## Dependent variable:
## ---------------------------------------------------------------------------------------
## total_pay
## (1) (2) (3) (4)
## -----------------------------------------------------------------------------------------------------------
## linc 115,923.000*** 145,535.000***
## (9,020.000) (8,121.000)
##
## lpop 26,911.000*** -18,883.000***
## (2,422.000) (5,331.000)
##
## log_tot_crime 25,971.000*** 48,906.000***
## (2,354.000) (5,221.000)
##
## -----------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE No No No No
## Observations 713 713 705 705
## R2 0.280 0.244 0.244 0.485
## Adjusted R2 0.273 0.236 0.236 0.478
## Residual Std. Error 34,530.000 (df = 705) 35,390.000 (df = 705) 35,070.000 (df = 697) 28,987.000 (df = 695)
## ===========================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===========================================================================================================
## Dependent variable:
## ---------------------------------------------------------------------------------------
## total_pay
## (1) (2) (3) (4)
## -----------------------------------------------------------------------------------------------------------
## linc 33,200.000*** 84,912.000***
## (10,042.000) (9,203.000)
##
## lpop 20,081.000*** -13,187.000***
## (1,939.000) (4,519.000)
##
## log_tot_crime 21,753.000*** 39,431.000***
## (1,834.000) (4,516.000)
##
## -----------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE Yes Yes Yes Yes
## Observations 713 713 705 705
## R2 0.597 0.648 0.665 0.705
## Adjusted R2 0.567 0.621 0.640 0.682
## Residual Std. Error 26,656.000 (df = 662) 24,932.000 (df = 662) 24,069.000 (df = 655) 22,636.000 (df = 653)
## ===========================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===========================================================================================================
## Dependent variable:
## ---------------------------------------------------------------------------------------
## base_pay
## (1) (2) (3) (4)
## -----------------------------------------------------------------------------------------------------------
## linc 74,772.000*** 92,092.000***
## (5,604.000) (5,434.000)
##
## lpop 12,034.000*** -12,867.000***
## (1,580.000) (3,567.000)
##
## log_tot_crime 11,553.000*** 26,880.000***
## (1,548.000) (3,494.000)
##
## -----------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE No No No No
## Observations 713 713 705 705
## R2 0.268 0.152 0.150 0.400
## Adjusted R2 0.260 0.144 0.141 0.392
## Residual Std. Error 21,452.000 (df = 705) 23,078.000 (df = 705) 23,056.000 (df = 697) 19,396.000 (df = 695)
## ===========================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===========================================================================================================
## Dependent variable:
## ---------------------------------------------------------------------------------------
## base_pay
## (1) (2) (3) (4)
## -----------------------------------------------------------------------------------------------------------
## linc 31,633.000*** 58,525.000***
## (6,729.000) (6,659.000)
##
## lpop 9,347.000*** -7,972.000**
## (1,365.000) (3,270.000)
##
## log_tot_crime 10,066.000*** 21,255.000***
## (1,319.000) (3,268.000)
##
## -----------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE Yes Yes Yes Yes
## Observations 713 713 705 705
## R2 0.523 0.540 0.550 0.598
## Adjusted R2 0.487 0.505 0.516 0.567
## Residual Std. Error 17,860.000 (df = 662) 17,545.000 (df = 662) 17,310.000 (df = 655) 16,379.000 (df = 653)
## ===========================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===========================================================================================================
## Dependent variable:
## ---------------------------------------------------------------------------------------
## overtime_pay
## (1) (2) (3) (4)
## -----------------------------------------------------------------------------------------------------------
## linc 41,151.000*** 53,443.000***
## (5,580.000) (5,314.000)
##
## lpop 14,877.000*** -6,016.000*
## (1,410.000) (3,488.000)
##
## log_tot_crime 14,418.000*** 22,026.000***
## (1,363.000) (3,416.000)
##
## -----------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE No No No No
## Observations 713 713 705 705
## R2 0.156 0.215 0.217 0.318
## Adjusted R2 0.148 0.207 0.209 0.309
## Residual Std. Error 21,360.000 (df = 705) 20,602.000 (df = 705) 20,297.000 (df = 697) 18,967.000 (df = 695)
## ===========================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===========================================================================================================
## Dependent variable:
## ---------------------------------------------------------------------------------------
## overtime_pay
## (1) (2) (3) (4)
## -----------------------------------------------------------------------------------------------------------
## linc 1,567.000 26,387.000***
## (6,585.000) (6,528.000)
##
## lpop 10,734.000*** -5,215.000
## (1,294.000) (3,206.000)
##
## log_tot_crime 11,687.000*** 18,176.000***
## (1,238.000) (3,204.000)
##
## -----------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE Yes Yes Yes Yes
## Observations 713 713 705 705
## R2 0.469 0.519 0.529 0.541
## Adjusted R2 0.429 0.483 0.493 0.505
## Residual Std. Error 17,479.000 (df = 662) 16,636.000 (df = 662) 16,245.000 (df = 655) 16,057.000 (df = 653)
## ===========================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===========================================================================================================
## Dependent variable:
## ---------------------------------------------------------------------------------------
## total_pay_25
## (1) (2) (3) (4)
## -----------------------------------------------------------------------------------------------------------
## linc 105,349.000*** 127,946.000***
## (7,840.000) (7,513.000)
##
## lpop 17,990.000*** -17,505.000***
## (2,200.000) (4,932.000)
##
## log_tot_crime 16,983.000*** 37,948.000***
## (2,143.000) (4,830.000)
##
## -----------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE No No No No
## Observations 713 713 705 705
## R2 0.273 0.165 0.162 0.410
## Adjusted R2 0.265 0.157 0.154 0.403
## Residual Std. Error 30,013.000 (df = 705) 32,148.000 (df = 705) 31,926.000 (df = 697) 26,815.000 (df = 695)
## ===========================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===========================================================================================================
## Dependent variable:
## ---------------------------------------------------------------------------------------
## total_pay_25
## (1) (2) (3) (4)
## -----------------------------------------------------------------------------------------------------------
## linc 39,018.000*** 74,837.000***
## (8,898.000) (8,724.000)
##
## lpop 11,962.000*** -12,782.000***
## (1,805.000) (4,284.000)
##
## log_tot_crime 13,312.000*** 29,926.000***
## (1,726.000) (4,281.000)
##
## -----------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE Yes Yes Yes Yes
## Observations 713 713 705 705
## R2 0.577 0.592 0.604 0.645
## Adjusted R2 0.545 0.561 0.574 0.618
## Residual Std. Error 23,619.000 (df = 662) 23,202.000 (df = 662) 22,646.000 (df = 655) 21,458.000 (df = 653)
## ===========================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===========================================================================================================
## Dependent variable:
## ---------------------------------------------------------------------------------------
## total_pay_75
## (1) (2) (3) (4)
## -----------------------------------------------------------------------------------------------------------
## linc 125,585.000*** 161,155.000***
## (10,442.000) (9,173.000)
##
## lpop 33,841.000*** -20,433.000***
## (2,720.000) (6,021.000)
##
## log_tot_crime 32,904.000*** 57,878.000***
## (2,643.000) (5,897.000)
##
## -----------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE No No No No
## Observations 713 713 705 705
## R2 0.266 0.275 0.276 0.501
## Adjusted R2 0.259 0.268 0.269 0.495
## Residual Std. Error 39,976.000 (df = 705) 39,740.000 (df = 705) 39,371.000 (df = 697) 32,740.000 (df = 695)
## ===========================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===========================================================================================================
## Dependent variable:
## ---------------------------------------------------------------------------------------
## total_pay_75
## (1) (2) (3) (4)
## -----------------------------------------------------------------------------------------------------------
## linc 26,500.000** 91,190.000***
## (11,717.000) (10,473.000)
##
## lpop 26,542.000*** -14,217.000***
## (2,198.000) (5,143.000)
##
## log_tot_crime 28,574.000*** 47,607.000***
## (2,074.000) (5,139.000)
##
## -----------------------------------------------------------------------------------------------------------
## Year FE Yes Yes Yes Yes
## County FE Yes Yes Yes Yes
## Observations 713 713 705 705
## R2 0.583 0.656 0.675 0.710
## Adjusted R2 0.551 0.630 0.651 0.687
## Residual Std. Error 31,101.000 (df = 662) 28,264.000 (df = 662) 27,214.000 (df = 655) 25,760.000 (df = 653)
## ===========================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01