
% 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 - 23:32:51
\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 15 - 44) & 2.127$^{***}$ & 2.132$^{***}$ & 1.598$^{***}$ & 1.549$^{***}$ & 1.406$^{***}$ & 1.537$^{***}$ \\ 
  & (0.491) & (0.432) & (0.491) & (0.411) & (0.463) & (0.412) \\ 
  & & & & & & \\ 
 Log (Population) & 1.730$^{***}$ & 1.519$^{***}$ & 1.619$^{***}$ & 1.392$^{***}$ & 1.522$^{***}$ & 1.372$^{***}$ \\ 
  & (0.056) & (0.041) & (0.060) & (0.044) & (0.055) & (0.042) \\ 
  & & & & & & \\ 
 Log (Population Density) & 0.098 & 0.087$^{*}$ & 0.052 & 0.039 & 0.017 & $-$0.002 \\ 
  & (0.070) & (0.052) & (0.070) & (0.051) & (0.066) & (0.049) \\ 
  & & & & & & \\ 
 Log (Unemployment Rate) &  &  & 1.087$^{***}$ & 1.028$^{***}$ & 0.634$^{***}$ & 0.715$^{***}$ \\ 
  &  &  & (0.180) & (0.142) & (0.156) & (0.130) \\ 
  & & & & & & \\ 
 % of population change (2011 vs 2015) &  &  & $-$0.617 & $-$0.235 & $-$0.299 & 0.020 \\ 
  &  &  & (0.975) & (0.608) & (0.851) & (0.541) \\ 
  & & & & & & \\ 
 Vote share for AfD (2013) &  &  & 5.618$^{*}$ & 4.822$^{**}$ & 5.358 & 3.178 \\ 
  &  &  & (3.116) & (2.406) & (3.384) & (2.718) \\ 
  & & & & & & \\ 
 Log (Refugee Inflow) (2014 vs 2015) &  &  &  &  & 0.857$^{***}$ & 0.734$^{***}$ \\ 
  &  &  &  &  & (0.324) & (0.261) \\ 
  & & & & & & \\ 
 Log (Refugee Size) (2014) &  &  &  &  & $-$0.210$^{**}$ & $-$0.192$^{**}$ \\ 
  &  &  &  &  & (0.104) & (0.084) \\ 
  & & & & & & \\ 
 Log (General Violence per capita) &  &  &  &  & 0.136 & 0.022 \\ 
  &  &  &  &  & (0.189) & (0.151) \\ 
  & & & & & & \\ 
 % of High Education &  &  &  &  & $-$0.022$^{*}$ & $-$0.018$^{*}$ \\ 
  &  &  &  &  & (0.013) & (0.011) \\ 
  & & & & & & \\ 
 Change in Manufacturing Share (2011 vs 2015) &  &  &  &  & 8.177$^{**}$ & 9.588$^{***}$ \\ 
  &  &  &  &  & (4.062) & (3.167) \\ 
  & & & & & & \\ 
 Share of Manufacturing &  &  &  &  & 0.057 & $-$0.306 \\ 
  &  &  &  &  & (0.750) & (0.606) \\ 
  & & & & & & \\ 
 Male Disadvantage &  &  &  &  & 0.920$^{**}$ & 0.846$^{***}$ \\ 
  &  &  &  &  & (0.371) & (0.319) \\ 
  & & & & & & \\ 
\hline \\[-1.8ex] 
Observations & 10,307 & 30,921 & 10,029 & 30,087 & 9,282 & 27,846 \\ 
Log Likelihood & $-$2,813.561 & $-$5,645.573 & $-$2,771.915 & $-$5,487.582 & $-$2,776.250 & $-$5,290.740 \\ 
Akaike Inf. Crit. & 6,433.122 & 12,101.150 & 6,141.830 & 11,577.160 & 5,600.500 & 10,633.480 \\ 
\hline 
\hline \\[-1.8ex] 
\textit{Note:}  & \multicolumn{6}{r}{$^{*}$p$<$0.1; $^{**}$p$<$0.05; $^{***}$p$<$0.01} \\ 
\end{tabular} 
\end{table} 
