% 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 - 23:38:37
\begin{table}[!htbp] \centering 
  \caption{} 
  \label{} 
\begin{tabular}{@{\extracolsep{5pt}}lcccc} 
\\[-1.8ex]\hline 
\hline \\[-1.8ex] 
 & \multicolumn{4}{c}{\textit{Dependent variable:}} \\ 
\cline{2-5} 
\\[-1.8ex] & Hate\_all\_muni\_1517\_bin & Hate\_all\_muni\_bin & Hate\_all\_muni\_1517\_bin & Hate\_all\_muni\_bin \\ 
\\[-1.8ex] & (1) & (2) & (3) & (4)\\ 
\hline \\[-1.8ex] 
 Excess Males (Age 15 - 44) & 1.291$^{***}$ & 1.442$^{***}$ & 1.588$^{**}$ & 1.445$^{**}$ \\ 
  & (0.462) & (0.410) & (0.791) & (0.701) \\ 
  & & & & \\ 
 West & 0.075 & $-$0.124 & 0.542 & $-$0.119 \\ 
  & (0.161) & (0.118) & (1.063) & (0.913) \\ 
  & & & & \\ 
 Log (Population) & 1.484$^{***}$ & 1.340$^{***}$ & 1.485$^{***}$ & 1.340$^{***}$ \\ 
  & (0.046) & (0.039) & (0.046) & (0.039) \\ 
  & & & & \\ 
 Log (Population Density) & 0.046 & 0.030 & 0.046 & 0.030 \\ 
  & (0.061) & (0.048) & (0.061) & (0.048) \\ 
  & & & & \\ 
 Log (Unemployment Rate) & 0.585$^{***}$ & 0.653$^{***}$ & 0.577$^{***}$ & 0.653$^{***}$ \\ 
  & (0.148) & (0.124) & (0.151) & (0.128) \\ 
  & & & & \\ 
 % of population change (2011 vs 2015) & 0.050 & 0.308 & 0.072 & 0.308 \\ 
  & (0.772) & (0.499) & (0.765) & (0.497) \\ 
  & & & & \\ 
 Vote share for AfD (2013) & 3.865 & 3.183 & 3.860 & 3.183 \\ 
  & (3.223) & (2.624) & (3.223) & (2.625) \\ 
  & & & & \\ 
 Log (Refugee Inflow) (2014 vs 2015) & 1.475$^{***}$ & 1.282$^{***}$ & 1.471$^{***}$ & 1.282$^{***}$ \\ 
  & (0.326) & (0.247) & (0.328) & (0.247) \\ 
  & & & & \\ 
 Log (Refugee Size) (2014) & $-$0.397$^{***}$ & $-$0.386$^{***}$ & $-$0.396$^{***}$ & $-$0.386$^{***}$ \\ 
  & (0.094) & (0.079) & (0.094) & (0.079) \\ 
  & & & & \\ 
 Log (General Violence per capita) & 0.083 & $-$0.092 & 0.086 & $-$0.092 \\ 
  & (0.166) & (0.138) & (0.166) & (0.139) \\ 
  & & & & \\ 
 % of High Education & $-$0.027$^{**}$ & $-$0.021$^{**}$ & $-$0.027$^{**}$ & $-$0.021$^{**}$ \\ 
  & (0.012) & (0.010) & (0.012) & (0.010) \\ 
  & & & & \\ 
 Change in Manufacturing Share (2011 vs 2015) & 7.554$^{*}$ & 8.568$^{**}$ & 7.560$^{*}$ & 8.568$^{**}$ \\ 
  & (4.241) & (3.509) & (4.247) & (3.509) \\ 
  & & & & \\ 
 Share of Manufacturing & $-$0.332 & $-$0.611 & $-$0.337 & $-$0.611 \\ 
  & (0.666) & (0.504) & (0.666) & (0.505) \\ 
  & & & & \\ 
 Male Disadvantage & 1.077$^{***}$ & 1.015$^{***}$ & 1.084$^{***}$ & 1.016$^{***}$ \\ 
  & (0.369) & (0.317) & (0.370) & (0.318) \\ 
  & & & & \\ 
 Excess Males x West &  &  & $-$0.419 & $-$0.004 \\ 
  &  &  & (0.938) & (0.812) \\ 
  & & & & \\ 
\hline \\[-1.8ex] 
Observations & 9,282 & 27,846 & 9,282 & 27,846 \\ 
Log Likelihood & $-$2,790.647 & $-$5,310.629 & $-$2,790.555 & $-$5,310.629 \\ 
Akaike Inf. Crit. & 5,611.295 & 10,655.260 & 5,613.110 & 10,657.260 \\ 
\hline 
\hline \\[-1.8ex] 
\textit{Note:}  & \multicolumn{4}{r}{$^{*}$p$<$0.1; $^{**}$p$<$0.05; $^{***}$p$<$0.01} \\ 
\end{tabular} 
\end{table}