##
## ========================================================================================
## Dependent variable:
## --------------------------------------------------------------------
## pay_police empl_police pay_fire empl_fire
## (1) (2) (3) (4)
## ----------------------------------------------------------------------------------------
## city_hpi_norm 0.940 0.002 -7.250 -0.001
## (1.950) (0.002) (6.630) (0.002)
##
## ----------------------------------------------------------------------------------------
## Year FE X X X X
## City FE X X X X
## Observations 789 789 390 390
## R2 0.942 0.999 0.885 0.996
## Adjusted R2 0.926 0.998 0.848 0.994
## Residual Std. Error 6.820 (df = 614) 0.022 (df = 614) 12.600 (df = 295) 0.015 (df = 295)
## ========================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## =================================================================================================
## Dependent variable:
## --------------------------------------------------------------------
## pay_police empl_police pay_fire empl_fire
## (1) (2) (3) (4)
## -------------------------------------------------------------------------------------------------
## city_hpi_norm 8.350 -0.036 17.800 -0.205**
## (28.400) (0.096) (80.300) (0.094)
##
## city_lpop_2012
## (0.000) (0.000) (0.000) (0.000)
##
## city_hpi_norm:city_lpop_2012 -1.530 0.008 -5.040 0.041**
## (5.860) (0.020) (16.500) (0.019)
##
## -------------------------------------------------------------------------------------------------
## Year FE X X X X
## City FE X X X X
## Observations 789 789 390 390
## R2 0.942 0.999 0.885 0.996
## Adjusted R2 0.925 0.998 0.848 0.994
## Residual Std. Error 6.820 (df = 613) 0.022 (df = 613) 12.700 (df = 294) 0.015 (df = 294)
## =================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## =================================================================================================
## Dependent variable:
## --------------------------------------------------------------------
## pay_police empl_police pay_fire empl_fire
## (1) (2) (3) (4)
## -------------------------------------------------------------------------------------------------
## city_hpi_norm -43.800 0.211** -94.100 0.082
## (91.300) (0.098) (209.000) (0.123)
##
## city_linc_2012
## (0.000) (0.000) (0.000) (0.000)
##
## city_hpi_norm:city_linc_2012 9.260 -0.043** 18.000 -0.017
## (18.900) (0.020) (42.400) (0.025)
##
## -------------------------------------------------------------------------------------------------
## Year FE X X X X
## City FE X X X X
## Observations 789 789 390 390
## R2 0.942 0.999 0.885 0.996
## Adjusted R2 0.926 0.998 0.848 0.994
## Residual Std. Error 6.820 (df = 613) 0.022 (df = 613) 12.700 (df = 294) 0.015 (df = 294)
## =================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ==============================================
## Model 1
## ----------------------------------------------
## county_loo_hpi_norm 9.11 ***
## (1.24)
## city_lpop_2012
##
## city_linc_2012
##
## county_loo_hpi_norm:city_lpop_2012 0.59 ***
## (0.06)
## county_loo_hpi_norm:city_linc_2012 -2.34 ***
## (0.23)
## ----------------------------------------------
## R^2 0.78
## Adj. R^2 0.72
## Num. obs. 798
## F statistic (Full model) 12.28
## F (full model): p-value 0.00
## ==============================================
## *** p < 0.001; ** p < 0.01; * p < 0.05##
## =========================================================================================
## Dependent variable:
## --------------------------------------------------------------------
## pay_police empl_police pay_fire empl_fire
## (1) (2) (3) (4)
## -----------------------------------------------------------------------------------------
## city_lpop_2012
##
##
## city_linc_2012
##
##
## `city_hpi_norm(fit)` 1.810 0.011 -5.790 0.004
## (3.120) (0.010) (6.190) (0.008)
##
## -----------------------------------------------------------------------------------------
## Year FE X X X X
## City FE X X X X
## Observations 789 789 390 390
## R2 0.942 0.999 0.885 0.996
## Adjusted R2 0.926 0.998 0.848 0.994
## Residual Std. Error 6.820 (df = 614) 0.022 (df = 614) 12.600 (df = 295) 0.015 (df = 295)
## =========================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===========================================================================================
## Dependent variable:
## -----------------------------------------------------------------------
## pay_police empl_police pay_fire empl_fire
## (1) (2) (3) (4)
## -------------------------------------------------------------------------------------------
## city_hpi_norm 1.730 0.053 3.670*** 0.054*
## (1.330) (0.037) (1.310) (0.028)
##
## -------------------------------------------------------------------------------------------
## Year FE X X X X
## City FE X X X X
## Observations 3,606 3,606 3,578 3,578
## R2 0.866 0.999 0.897 0.998
## Adjusted R2 0.843 0.999 0.880 0.998
## Residual Std. Error 8.550 (df = 3075) 0.268 (df = 3075) 9.000 (df = 3051) 0.113 (df = 3051)
## ===========================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ====================================================================================================
## Dependent variable:
## -----------------------------------------------------------------------
## pay_police empl_police pay_fire empl_fire
## (1) (2) (3) (4)
## ----------------------------------------------------------------------------------------------------
## city_hpi_norm 16.400 -0.537* 11.700 -0.870**
## (13.400) (0.283) (12.600) (0.414)
##
## city_lpop_2012
## (0.000) (0.000) (0.000) (0.000)
##
## city_hpi_norm:city_lpop_2012 -2.710 0.109* -1.480 0.171**
## (2.640) (0.057) (2.480) (0.078)
##
## ----------------------------------------------------------------------------------------------------
## Year FE X X X X
## City FE X X X X
## Observations 3,606 3,606 3,578 3,578
## R2 0.867 0.999 0.898 0.999
## Adjusted R2 0.844 0.999 0.880 0.998
## Residual Std. Error 8.510 (df = 3074) 0.266 (df = 3074) 8.990 (df = 3050) 0.100 (df = 3050)
## ====================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ====================================================================================================
## Dependent variable:
## -----------------------------------------------------------------------
## pay_police empl_police pay_fire empl_fire
## (1) (2) (3) (4)
## ----------------------------------------------------------------------------------------------------
## city_hpi_norm 45.600 -0.038 -64.000** -0.049
## (66.000) (0.212) (30.300) (0.145)
##
## city_linc_2012
## (0.000) (0.000) (0.000) (0.000)
##
## city_hpi_norm:city_linc_2012 -9.220 0.019 14.200** 0.022
## (13.900) (0.040) (6.420) (0.032)
##
## ----------------------------------------------------------------------------------------------------
## Year FE X X X X
## City FE X X X X
## Observations 3,606 3,606 3,578 3,578
## R2 0.866 0.999 0.898 0.998
## Adjusted R2 0.843 0.999 0.881 0.998
## Residual Std. Error 8.530 (df = 3074) 0.268 (df = 3074) 8.960 (df = 3050) 0.113 (df = 3050)
## ====================================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01##
## ===============================================
## Model 1
## -----------------------------------------------
## county_loo_hpi_norm -2.97 ***
## (0.42)
## city_lpop_2012
##
## city_linc_2012
##
## county_loo_hpi_norm:city_lpop_2012 0.10 ***
## (0.02)
## county_loo_hpi_norm:city_linc_2012 0.67 ***
## (0.09)
## -----------------------------------------------
## R^2 0.85
## Adj. R^2 0.83
## Num. obs. 3485
## F statistic (Full model) 32.98
## F (full model): p-value 0.00
## ===============================================
## *** p < 0.001; ** p < 0.01; * p < 0.05##
## ============================================================================================
## Dependent variable:
## -----------------------------------------------------------------------
## pay_police empl_police pay_fire empl_fire
## (1) (2) (3) (4)
## --------------------------------------------------------------------------------------------
## city_lpop_2012
##
##
## city_linc_2012
##
##
## `city_hpi_norm(fit)` 4.470*** 0.008 7.960*** 0.047***
## (0.920) (0.017) (0.986) (0.007)
##
## --------------------------------------------------------------------------------------------
## year FE X X X X
## City FE X X X X
## Observations 3,473 3,473 3,445 3,445
## R2 0.873 0.999 0.901 0.998
## Adjusted R2 0.851 0.998 0.883 0.998
## Residual Std. Error 8.240 (df = 2962) 0.151 (df = 2962) 8.790 (df = 2938) 0.063 (df = 2938)
## ============================================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01