\small
\begin{tabular}{lccccc}
\toprule
 & \textbf{(1a)} & \textbf{(1b)} & \textbf{(1c)} & \textbf{(1d)} & \textbf{(1e)} \\
Dep.\ var: & \textit{log\_rent} & \textit{log\_rent} & \textit{log\_rent} & \textit{log\_rent} & \textit{log\_rent} \\
\midrule
const & 7.5990*** & 7.0390*** & 7.2380*** & 7.2380*** & 7.2766*** \\
 & (0.0040) & (0.0139) & (0.0677) & (0.0677) & (0.0332) \\[4pt]
airbnb\_count\_500m & 0.0020*** & 0.0048*** & 0.0039*** &  &  \\
 & (0.0003) & (0.0002) & (0.0002) &  &  \\[4pt]
airbnb\_density\_500m &  &  &  & 0.0030*** &  \\
 &  &  &  & (0.0002) &  \\[4pt]
share\_entire\_home\_500m &  &  &  &  & -0.0041 \\
 &  &  &  &  & (0.0107) \\[4pt]
bedrooms &  & 0.1118*** & 0.1276*** & 0.1276*** & 0.1215*** \\
 &  & (0.0046) & (0.0046) & (0.0046) & (0.0057) \\[4pt]
bathrooms &  & 0.2604*** & 0.2287*** & 0.2287*** & 0.3033*** \\
 &  & (0.0128) & (0.0126) & (0.0126) & (0.0104) \\[4pt]
bt\_House &  & 0.0880*** & 0.0825*** & 0.0825*** & 0.0305 \\
 &  & (0.0128) & (0.0137) & (0.0137) & (0.0260) \\[4pt]
bt\_Row / Townhouse &  & 0.1493*** & 0.0981*** & 0.0981*** & 0.1187* \\
 &  & (0.0375) & (0.0366) & (0.0366) & (0.0695) \\[4pt]
\midrule
Observations & 8303 & 7925 & 7925 & 7925 & 4370 \\
R$^2$ & 0.0075 & 0.4705 & 0.5697 & 0.5697 & 0.4961 \\
Adj.\ R$^2$ & 0.0074 & 0.4702 & 0.5554 & 0.5554 & 0.4857 \\
\bottomrule
\end{tabular}
\vspace{4pt}
\parbox{\textwidth}{\footnotesize Models (1c)-(1e) include city fixed effects (not shown).}
\parbox{\textwidth}{\footnotesize Robust (HC1) standard errors in parentheses. $^{***}p<0.01$; $^{**}p<0.05$; $^{*}p<0.10$.}
