
% 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 - 23:35:11
\begin{table}[!htbp] \centering 
  \caption{} 
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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 25 - 44) & 1.595$^{***}$ & 1.794$^{***}$ & 0.958$^{**}$ & 1.066$^{***}$ & 0.932$^{**}$ & 1.192$^{***}$ \\ 
  & (0.454) & (0.400) & (0.456) & (0.373) & (0.430) & (0.364) \\ 
  & & & & & & \\ 
 Log (Population) & 1.726$^{***}$ & 1.511$^{***}$ & 1.614$^{***}$ & 1.387$^{***}$ & 1.518$^{***}$ & 1.365$^{***}$ \\ 
  & (0.056) & (0.041) & (0.059) & (0.043) & (0.054) & (0.042) \\ 
  & & & & & & \\ 
 Log (Population Density) & 0.082 & 0.073 & 0.030 & 0.019 & 0.001 & $-$0.014 \\ 
  & (0.070) & (0.052) & (0.070) & (0.051) & (0.066) & (0.049) \\ 
  & & & & & & \\ 
 Log (Unemployment Rate) &  &  & 1.120$^{***}$ & 1.039$^{***}$ & 0.642$^{***}$ & 0.704$^{***}$ \\ 
  &  &  & (0.184) & (0.145) & (0.157) & (0.131) \\ 
  & & & & & & \\ 
 % of population change (2011 vs 2015) &  &  & $-$0.463 & $-$0.023 & $-$0.207 & 0.156 \\ 
  &  &  & (0.905) & (0.554) & (0.816) & (0.511) \\ 
  & & & & & & \\ 
 Vote share for AfD (2013) &  &  & 5.974$^{*}$ & 5.282$^{**}$ & 5.776$^{*}$ & 3.771 \\ 
  &  &  & (3.088) & (2.400) & (3.366) & (2.699) \\ 
  & & & & & & \\ 
 Log (Refugee Inflow) (2014 vs 2015) &  &  &  &  & 0.859$^{***}$ & 0.705$^{***}$ \\ 
  &  &  &  &  & (0.324) & (0.263) \\ 
  & & & & & & \\ 
 Log (Refugee Size) (2014) &  &  &  &  & $-$0.211$^{**}$ & $-$0.191$^{**}$ \\ 
  &  &  &  &  & (0.103) & (0.084) \\ 
  & & & & & & \\ 
 Log (General Violence per capita) &  &  &  &  & 0.130 & 0.019 \\ 
  &  &  &  &  & (0.187) & (0.149) \\ 
  & & & & & & \\ 
 % of High Education &  &  &  &  & $-$0.022$^{*}$ & $-$0.018$^{*}$ \\ 
  &  &  &  &  & (0.013) & (0.010) \\ 
  & & & & & & \\ 
 Change in Manufacturing Share (2011 vs 2015) &  &  &  &  & 8.213$^{**}$ & 9.464$^{***}$ \\ 
  &  &  &  &  & (4.029) & (3.139) \\ 
  & & & & & & \\ 
 Share of Manufacturing &  &  &  &  & 0.076 & $-$0.318 \\ 
  &  &  &  &  & (0.748) & (0.603) \\ 
  & & & & & & \\ 
 Male Disadvantage &  &  &  &  & 0.910$^{**}$ & 0.856$^{***}$ \\ 
  &  &  &  &  & (0.369) & (0.316) \\ 
  & & & & & & \\ 
\hline \\[-1.8ex] 
Observations & 10,378 & 31,134 & 10,097 & 30,291 & 9,288 & 27,864 \\ 
Log Likelihood & $-$2,823.656 & $-$5,669.987 & $-$2,781.008 & $-$5,512.023 & $-$2,782.381 & $-$5,312.211 \\ 
Akaike Inf. Crit. & 6,453.312 & 12,149.970 & 6,160.016 & 11,626.050 & 5,612.761 & 10,676.420 \\ 
\hline 
\hline \\[-1.8ex] 
\textit{Note:}  & \multicolumn{6}{r}{$^{*}$p$<$0.1; $^{**}$p$<$0.05; $^{***}$p$<$0.01} \\ 
\end{tabular} 
\end{table} 
