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4_1.tex
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\begin{table}
\begin{center}
\begin{tabular}{l c c}
\hline
& Model 1 & Model 2 \\
\hline
(Intercept) & $62.27^{***}$ & $62.27^{***}$ \\
& $(1.19)$ & $(1.19)$ \\
fampov14 & $2.26^{***}$ & $2.26^{***}$ \\
& $(0.07)$ & $(0.07)$ \\
rucc02 & $-1.92$ & $-1.92$ \\
& $(1.20)$ & $(1.20)$ \\
rucc03 & $-3.39^{**}$ & $-3.39^{**}$ \\
& $(1.25)$ & $(1.25)$ \\
rucc04 & $-6.65^{***}$ & $-6.65^{***}$ \\
& $(1.41)$ & $(1.41)$ \\
rucc05 & $-5.96^{**}$ & $-5.96^{**}$ \\
& $(1.94)$ & $(1.94)$ \\
rucc06 & $-3.94^{***}$ & $-3.94^{***}$ \\
& $(1.14)$ & $(1.14)$ \\
rucc07 & $-4.01^{**}$ & $-4.01^{**}$ \\
& $(1.28)$ & $(1.28)$ \\
rucc08 & $0.45$ & $0.45$ \\
& $(2.11)$ & $(2.11)$ \\
rucc09 & $-3.88$ & $-3.88$ \\
& $(2.29)$ & $(2.29)$ \\
hpsa16partial county shortage & $-0.66$ & $-0.66$ \\
& $(1.01)$ & $(1.01)$ \\
hpsa16whole county shortage & $2.36$ & $2.36$ \\
& $(1.25)$ & $(1.25)$ \\
\hline
AIC & $19599.34$ & $$ \\
BIC & $19674.10$ & $$ \\
Log Likelihood & $-9786.67$ & $$ \\
Deviance & $618733.69$ & $$ \\
Num. obs. & $2324$ & $2324$ \\
R$^2$ & $$ & $0.37$ \\
Adj. R$^2$ & $$ & $0.37$ \\
\hline
\multicolumn{3}{l}{\scriptsize{$^{***}p<0.001$; $^{**}p<0.01$; $^{*}p<0.05$}}
\end{tabular}
\caption{Statistical models}
\label{table:coefficients}
\end{center}
\end{table}