32/replication_package/table_C7.tex

% 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 - 23:38:38
\begin{table}[!htbp] \centering 
  \caption{} 
  \label{} 
\begin{tabular}{@{\extracolsep{5pt}}lcc} 
\\[-1.8ex]\hline 
\hline \\[-1.8ex] 
 & \multicolumn{2}{c}{\textit{Dependent variable:}} \\ 
\cline{2-3} 
\\[-1.8ex] & Hate\_all\_muni\_1517\_bin & Hate\_all\_muni\_bin \\ 
\\[-1.8ex] & (1) & (2)\\ 
\hline \\[-1.8ex] 
 Excess Males (Age 15 - 44) & $-$8.441 & $-$17.754 \\ 
  & (18.923) & (15.168) \\ 
  & & \\ 
 Log (Refugee Inflow) (2014 vs 2015) & $-$0.544 & $-$2.018 \\ 
  & (2.711) & (2.185) \\ 
  & & \\ 
 Log (Population) & 1.522$^{***}$ & 1.372$^{***}$ \\ 
  & (0.055) & (0.042) \\ 
  & & \\ 
 Log (Population Density) & 0.019 & 0.001 \\ 
  & (0.066) & (0.049) \\ 
  & & \\ 
 Log (Unemployment Rate) & 0.630$^{***}$ & 0.708$^{***}$ \\ 
  & (0.155) & (0.130) \\ 
  & & \\ 
 % of population change (2011 vs 2015) & $-$0.299 & 0.017 \\ 
  & (0.856) & (0.548) \\ 
  & & \\ 
 Vote share for AfD (2013) & 5.358 & 3.192 \\ 
  & (3.386) & (2.726) \\ 
  & & \\ 
 Log (Refugee Size) (2014) & $-$0.209$^{**}$ & $-$0.190$^{**}$ \\ 
  & (0.104) & (0.085) \\ 
  & & \\ 
 Log (General Violence per capita) & 0.141 & 0.035 \\ 
  & (0.190) & (0.152) \\ 
  & & \\ 
 % of High Education & $-$0.022$^{*}$ & $-$0.019$^{*}$ \\ 
  & (0.013) & (0.011) \\ 
  & & \\ 
 Change in Manufacturing Share (2011 vs 2015) & 8.200$^{**}$ & 9.647$^{***}$ \\ 
  & (4.077) & (3.200) \\ 
  & & \\ 
 Share of Manufacturing & 0.044 & $-$0.335 \\ 
  & (0.750) & (0.606) \\ 
  & & \\ 
 Male Disadvantage & 0.929$^{**}$ & 0.865$^{***}$ \\ 
  & (0.372) & (0.321) \\ 
  & & \\ 
 Excess Males × Log (Refugee Inflow) & 1.290 & 2.524 \\ 
  & (2.477) & (1.987) \\ 
  & & \\ 
\hline \\[-1.8ex] 
Observations & 9,282 & 27,846 \\ 
Log Likelihood & $-$2,776.125 & $-$5,289.906 \\ 
Akaike Inf. Crit. & 5,602.249 & 10,633.810 \\ 
\hline 
\hline \\[-1.8ex] 
\textit{Note:}  & \multicolumn{2}{r}{$^{*}$p$<$0.1; $^{**}$p$<$0.05; $^{***}$p$<$0.01} \\ 
\end{tabular} 
\end{table}