% Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
% Date and time: Wed, Sep 09, 2020 - 23:35:27
\begin{table}[!htbp] \centering 
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\begin{tabular}{@{\extracolsep{5pt}}lcccccc} 
\\[-1.8ex]\hline 
\hline \\[-1.8ex] 
 & \multicolumn{6}{c}{\textit{Dependent variable:}} \\ 
\cline{2-7} 
\\[-1.8ex] & Hate\_all\_muni\_1517\_bin & Hate\_all\_muni\_bin & Hate\_all\_muni\_1517\_bin & Hate\_all\_muni\_bin & Hate\_all\_muni\_1517\_bin & Hate\_all\_muni\_bin \\ 
\\[-1.8ex] & (1) & (2) & (3) & (4) & (5) & (6)\\ 
\hline \\[-1.8ex] 
 Excess Males (Age 15 - 44) & 0.116$^{***}$ & 0.069$^{***}$ & 0.089$^{***}$ & 0.051$^{***}$ & 0.095$^{***}$ & 0.057$^{***}$ \\ 
  & (0.027) & (0.015) & (0.025) & (0.013) & (0.026) & (0.014) \\ 
  & & & & & & \\ 
 Log (Population) & 0.162$^{***}$ & 0.086$^{***}$ & 0.156$^{***}$ & 0.081$^{***}$ & 0.152$^{***}$ & 0.078$^{***}$ \\ 
  & (0.009) & (0.005) & (0.008) & (0.004) & (0.008) & (0.004) \\ 
  & & & & & & \\ 
 Log (Population Density) & 0.011 & 0.011$^{***}$ & 0.010 & 0.011$^{***}$ & 0.008 & 0.008$^{**}$ \\ 
  & (0.007) & (0.004) & (0.007) & (0.003) & (0.007) & (0.003) \\ 
  & & & & & & \\ 
 Log (Unemployment Rate) &  &  & 0.137$^{***}$ & 0.090$^{***}$ & 0.093$^{***}$ & 0.066$^{***}$ \\ 
  &  &  & (0.015) & (0.009) & (0.014) & (0.008) \\ 
  & & & & & & \\ 
 % of population change (2011 vs 2015) &  &  & $-$0.059 & $-$0.031 & 0.024 & 0.025 \\ 
  &  &  & (0.086) & (0.041) & (0.100) & (0.050) \\ 
  & & & & & & \\ 
 Vote share for AfD (2013) &  &  & 0.307$^{**}$ & 0.120$^{*}$ & 0.370$^{**}$ & 0.106 \\ 
  &  &  & (0.147) & (0.069) & (0.182) & (0.089) \\ 
  & & & & & & \\ 
 Log (Refugee Inflow) (2014 vs 2015) &  &  &  &  & 0.075 & 0.046 \\ 
  &  &  &  &  & (0.051) & (0.029) \\ 
  & & & & & & \\ 
 Log (Refugee Size) (2014) &  &  &  &  & $-$0.019 & $-$0.011 \\ 
  &  &  &  &  & (0.014) & (0.007) \\ 
  & & & & & & \\ 
 Log (General Violence per capita) &  &  &  &  & 0.010 & 0.007 \\ 
  &  &  &  &  & (0.021) & (0.011) \\ 
  & & & & & & \\ 
 % of High Education &  &  &  &  & $-$0.003$^{*}$ & $-$0.002$^{**}$ \\ 
  &  &  &  &  & (0.002) & (0.001) \\ 
  & & & & & & \\ 
 Change in Manufacturing Share (2011 vs 2015) &  &  &  &  & 0.725 & 0.583$^{**}$ \\ 
  &  &  &  &  & (0.489) & (0.243) \\ 
  & & & & & & \\ 
 Share of Manufacturing &  &  &  &  & 0.021 & $-$0.023 \\ 
  &  &  &  &  & (0.092) & (0.048) \\ 
  & & & & & & \\ 
 Male Disadvantage &  &  &  &  & 0.114$^{**}$ & 0.063$^{**}$ \\ 
  &  &  &  &  & (0.047) & (0.025) \\ 
  & & & & & & \\ 
\hline \\[-1.8ex] 
Observations & 10,307 & 30,921 & 10,029 & 30,087 & 9,282 & 27,846 \\ 
R$^{2}$ & 0.366 & 0.252 & 0.347 & 0.204 & 0.302 & 0.180 \\ 
Adjusted R$^{2}$ & 0.340 & 0.242 & 0.327 & 0.196 & 0.301 & 0.179 \\ 
Residual Std. Error & 0.316 (df = 9904) & 0.247 (df = 30516) & 0.314 (df = 9730) & 0.246 (df = 29786) & 0.320 (df = 9258) & 0.248 (df = 27820) \\ 
F Statistic & 14.206$^{***}$ (df = 402; 9904) & 25.480$^{***}$ (df = 404; 30516) & 17.368$^{***}$ (df = 298; 9730) & 25.406$^{***}$ (df = 300; 29786) & 174.490$^{***}$ (df = 23; 9258) & 244.318$^{***}$ (df = 25; 27820) \\ 
\hline 
\hline \\[-1.8ex] 
\textit{Note:}  & \multicolumn{6}{r}{$^{*}$p$<$0.1; $^{**}$p$<$0.05; $^{***}$p$<$0.01} \\ 
\end{tabular} 
\end{table}