##
## Please cite as:## Hlavac, Marek (2018). stargazer: Well-Formatted Regression and Summary Statistics Tables.## R package version 5.2.2. https://CRAN.R-project.org/package=stargazer##
## =================================================================
## Dependent variable:
## --------------------------------
## Number of Calls for Service
## Property Disorder Violent
## (1) (2) (3)
## -----------------------------------------------------------------
## Change in Airbnb (log) 0.152*** 0.169*** 0.070***
## (0.006) (0.007) (0.005)
##
## % White 0.104*** 0.198*** -0.129***
## (0.032) (0.037) (0.026)
##
## % Housing Vacant 0.438*** 0.795*** 0.651***
## (0.054) (0.062) (0.044)
##
## % College Grduate -0.062 -0.128*** -0.359***
## (0.041) (0.047) (0.033)
##
## Median Income (log) -0.303*** -0.422*** -0.367***
## (0.016) (0.018) (0.013)
##
## Median Rent (log) 0.003 -0.057*** -0.035**
## (0.018) (0.021) (0.015)
##
## Population (log) 0.349*** 0.435*** 0.316***
## (0.010) (0.012) (0.009)
##
## Constant 1.346*** 3.323*** 2.776***
## (0.207) (0.240) (0.169)
##
## -----------------------------------------------------------------
## Neighbourhood FE Yes Yes Yes
## Time FE Yes Yes Yes
## Observations 40,945 40,945 40,945
## R2 0.395 0.445 0.418
## Adjusted R2 0.392 0.442 0.415
## Residual Std. Error (df = 40716) 0.733 0.851 0.599
## F Statistic (df = 228; 40716) 116.747*** 143.035*** 128.444***
## =================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01
##
## ===============================
## Three Cities - Same Time Period
## -------------------------------##
## ==============================================================
## Dependent variable:
## -----------------------------
## Change in Calls for Service
## Property Disorder Violent
## (1) (2) (3)
## --------------------------------------------------------------
## Change in Airbnb (log) -0.052*** -0.016** -0.014
## (0.009) (0.007) (0.009)
##
## % White -0.003 -0.004* -0.001
## (0.003) (0.002) (0.003)
##
## % Housing Vacant -0.002 -0.004 -0.001
## (0.004) (0.004) (0.005)
##
## % College Grduate 0.003 0.006** 0.002
## (0.003) (0.003) (0.004)
##
## Median Income (log) 0.001 -0.001 -0.0002
## (0.001) (0.001) (0.001)
##
## Median Rent (log) -0.003* -0.003*** 0.001
## (0.002) (0.001) (0.002)
##
## Population (log) -0.001 -0.002** -0.0001
## (0.001) (0.001) (0.001)
##
## Constant 4.952*** 7.199*** 3.926***
## (0.049) (0.040) (0.050)
##
## --------------------------------------------------------------
## Neighbourhood FE Yes Yes Yes
## Time FE Yes Yes Yes
## Observations 32,498 32,498 32,498
## R2 0.036 0.023 0.012
## Adjusted R2 0.030 0.016 0.005
## Residual Std. Error (df = 32278) 0.056 0.046 0.057
## F Statistic (df = 219; 32278) 5.576*** 3.474*** 1.715***
## ==============================================================
## Note: *p<0.1; **p<0.05; ***p<0.01
##
## ======================
## Three Cities - Changes
## ----------------------##
## =================================================================
## Dependent variable:
## --------------------------------
## Number of Calls for Service
## Property Disorder Violent
## (1) (2) (3)
## -----------------------------------------------------------------
## Change in Airbnb (log) 0.056*** 0.047*** -0.003
## (0.008) (0.007) (0.007)
##
## Hotels (log) 0.224*** 0.220*** 0.185***
## (0.016) (0.013) (0.014)
##
## % White 0.126** 0.390*** -0.111**
## (0.051) (0.042) (0.044)
##
## % Housing Vacant 0.501*** 0.981*** 0.838***
## (0.061) (0.051) (0.052)
##
## % College Grduate 0.038 -0.463*** -0.479***
## (0.060) (0.050) (0.052)
##
## Median Income (log) -0.179*** -0.253*** -0.257***
## (0.021) (0.017) (0.018)
##
## Median Rent (log) -0.117*** -0.059*** -0.118***
## (0.026) (0.022) (0.023)
##
## Population (log) 0.347*** 0.569*** 0.390***
## (0.016) (0.013) (0.013)
##
## Constant 1.216*** 2.099*** 1.732***
## (0.236) (0.197) (0.203)
##
## -----------------------------------------------------------------
## Neighbourhood FE Yes Yes Yes
## Time FE Yes Yes Yes
## Observations 16,520 16,520 16,520
## R2 0.406 0.567 0.485
## Adjusted R2 0.402 0.564 0.481
## Residual Std. Error (df = 16408) 0.640 0.534 0.549
## F Statistic (df = 111; 16408) 101.014*** 193.878*** 139.004***
## =================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01
##
## ==============================
## New Orleans - Same Time Period
## ------------------------------##
## ==============================================================
## Dependent variable:
## -----------------------------
## Change in Calls for Service
## Property Disorder Violent
## (1) (2) (3)
## --------------------------------------------------------------
## Change in Airbnb (log) -0.095*** -0.095*** -0.030
## (0.011) (0.013) (0.022)
##
## Hotels (log) -0.004** -0.003* -0.004
## (0.002) (0.002) (0.003)
##
## % White 0.008 0.001 0.009
## (0.005) (0.006) (0.010)
##
## % Housing Vacant 0.005 0.003 0.002
## (0.006) (0.007) (0.012)
##
## % College Grduate -0.004 0.006 -0.001
## (0.006) (0.007) (0.012)
##
## Median Income (log) 0.002 -0.003 0.003
## (0.002) (0.002) (0.004)
##
## Median Rent (log) -0.002 0.001 -0.001
## (0.003) (0.003) (0.005)
##
## Population (log) -0.001 0.001 -0.005
## (0.002) (0.002) (0.003)
##
## Constant 4.997*** 6.068*** 3.252***
## (0.063) (0.073) (0.123)
##
## --------------------------------------------------------------
## Neighbourhood FE Yes Yes Yes
## Time FE Yes Yes Yes
## Observations 14,455 14,455 14,455
## R2 0.019 0.027 0.009
## Adjusted R2 0.011 0.020 0.002
## Residual Std. Error (df = 14348) 0.062 0.072 0.122
## F Statistic (df = 106; 14348) 2.551*** 3.797*** 1.286**
## ==============================================================
## Note: *p<0.1; **p<0.05; ***p<0.01
##
## =====================
## New Orleans - Changes
## ---------------------