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% 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}
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