% 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 - 23:38:34 \begin{table}[!htbp] \centering \caption{} \label{} \begin{tabular}{@{\extracolsep{5pt}}lcccccc} \\[-1.8ex]\hline \hline \\[-1.8ex] & \multicolumn{6}{c}{\textit{Dependent variable:}} \\ \cline{2-7} \\[-1.8ex] & Physical\_muni\_1517\_bin & Physical\_muni\_bin & Physical\_muni\_1517\_bin & Physical\_muni\_bin & Physical\_muni\_1517\_bin & Physical\_muni\_bin \\ \\[-1.8ex] & (1) & (2) & (3) & (4) & (5) & (6)\\ \hline \\[-1.8ex] Excess Males (Age 15 - 44) & 3.773$^{***}$ & 3.038$^{***}$ & 2.624$^{***}$ & 1.906$^{**}$ & 2.719$^{***}$ & 1.634$^{*}$ \\ & (0.938) & (0.818) & (0.910) & (0.744) & (0.944) & (0.902) \\ & & & & & & \\ Log (Population) & 1.775$^{***}$ & 1.640$^{***}$ & 1.562$^{***}$ & 1.429$^{***}$ & 1.442$^{***}$ & 1.366$^{***}$ \\ & (0.120) & (0.090) & (0.124) & (0.100) & (0.106) & (0.101) \\ & & & & & & \\ Log (Population Density) & 0.096 & 0.071 & 0.080 & 0.045 & 0.046 & $-$0.018 \\ & (0.134) & (0.109) & (0.129) & (0.103) & (0.113) & (0.105) \\ & & & & & & \\ Log (Unemployment Rate) & & & 1.591$^{***}$ & 1.515$^{***}$ & 1.179$^{***}$ & 1.309$^{***}$ \\ & & & (0.346) & (0.304) & (0.282) & (0.256) \\ & & & & & & \\ % of population change (2011 vs 2015) & & & $-$0.837 & $-$0.368 & 0.023 & 0.154 \\ & & & (0.772) & (0.721) & (0.580) & (0.555) \\ & & & & & & \\ Vote share for AfD (2013) & & & 2.058 & 0.875 & 0.588 & 0.763 \\ & & & (6.640) & (6.184) & (5.209) & (5.080) \\ & & & & & & \\ Log (Refugee Inflow) (2014 vs 2015) & & & & & 0.262 & $-$0.091 \\ & & & & & (0.686) & (0.646) \\ & & & & & & \\ Log (Refugee Size) (2014) & & & & & $-$0.429$^{**}$ & $-$0.288 \\ & & & & & (0.210) & (0.202) \\ & & & & & & \\ Log (General Violence per capita) & & & & & $-$0.303 & $-$0.288 \\ & & & & & (0.383) & (0.383) \\ & & & & & & \\ % of High Education & & & & & $-$0.011 & $-$0.018 \\ & & & & & (0.024) & (0.023) \\ & & & & & & \\ Change in Manufacturing Share (2011 vs 2015) & & & & & 4.548 & $-$0.633 \\ & & & & & (8.376) & (8.393) \\ & & & & & & \\ Share of Manufacturing & & & & & 1.859 & 2.050 \\ & & & & & (1.742) & (1.632) \\ & & & & & & \\ Male Disadvantage & & & & & 1.258 & 1.217 \\ & & & & & (0.800) & (0.786) \\ & & & & & & \\ \hline \\[-1.8ex] Observations & 10,307 & 30,921 & 10,029 & 30,087 & 9,282 & 27,846 \\ Log Likelihood & $-$842.859 & $-$1,447.433 & $-$820.949 & $-$1,339.173 & $-$884.639 & $-$1,339.369 \\ Akaike Inf. Crit. & 2,491.718 & 3,704.866 & 2,239.899 & 3,280.346 & 1,817.279 & 2,730.737 \\ \hline \hline \\[-1.8ex] \textit{Note:} & \multicolumn{6}{r}{$^{*}$p$<$0.1; $^{**}$p$<$0.05; $^{***}$p$<$0.01} \\ \end{tabular} \end{table}