\begin{table}[H]
\centering
\caption{Amenity coefficients by quantile --- single-family houses}
\label{tab:qr_houses}
\begin{threeparttable}
\small
\begin{tabular}{lcccccc}
\toprule
& \multicolumn{5}{c}{Quantile regression, $\tau$} & OLS \\
\cmidrule(lr){2-6}
Amenity indicator & 0.10 & 0.25 & 0.50 & 0.75 & 0.90 & \\
\midrule
Highway & 0.205$^{***}$ & 0.156$^{***}$ & 0.113$^{***}$ & 0.071$^{***}$ & 0.034 & 0.133$^{***}$ \\
 & (0.033) & (0.018) & (0.015) & (0.014) & (0.025) &  \\[2pt]
Hospital & $-$0.085$^{***}$ & $-$0.061$^{***}$ & $-$0.027$^{**}$ & 0.001 & 0.041$^{*}$ & $-$0.049$^{***}$ \\
 & (0.028) & (0.015) & (0.013) & (0.015) & (0.024) &  \\[2pt]
Park & 0.122$^{***}$ & 0.070$^{***}$ & 0.038$^{**}$ & 0.015 & 0.014 & 0.042$^{**}$ \\
 & (0.034) & (0.019) & (0.019) & (0.021) & (0.025) &  \\[2pt]
School & $-$0.102$^{***}$ & $-$0.136$^{***}$ & $-$0.110$^{***}$ & $-$0.110$^{***}$ & $-$0.111$^{***}$ & $-$0.122$^{***}$ \\
 & (0.033) & (0.022) & (0.021) & (0.019) & (0.024) &  \\[2pt]
Transit & 0.178$^{***}$ & 0.162$^{***}$ & 0.094$^{***}$ & 0.074$^{***}$ & 0.053$^{**}$ & 0.113$^{***}$ \\
 & (0.027) & (0.020) & (0.017) & (0.016) & (0.025) &  \\[2pt]
Golf course & 0.041 & 0.063$^{***}$ & 0.038$^{***}$ & 0.036$^{***}$ & 0.015 & 0.052$^{***}$ \\
 & (0.026) & (0.016) & (0.013) & (0.012) & (0.020) &  \\[2pt]
Garage & 0.061$^{***}$ & 0.100$^{***}$ & 0.096$^{***}$ & 0.082$^{***}$ & 0.047$^{**}$ & 0.100$^{***}$ \\
 & (0.020) & (0.015) & (0.012) & (0.014) & (0.022) &  \\[2pt]
\midrule
Pseudo-$R^2$ / adj.\ $R^2$ & 0.355 & 0.364 & 0.400 & 0.436 & 0.444 & 0.619 \\
$N$ & \multicolumn{6}{c}{6,250} \\
\bottomrule
\end{tabular}
\begin{tablenotes}
\small
\item \textit{Notes:} Dependent variable: log asking price. Each column is a separate estimate of equation~\eqref{eq:qr} (quantile regression) or equation~\eqref{eq:hedonic} (OLS) including all structural, locational and regional controls listed in Table~\ref{tab:specification}. Bootstrap standard errors in parentheses. $^{***}$, $^{**}$ and $^{*}$ denote significance at the 1, 5 and 10 percent levels (two-sided normal test using bootstrap standard errors, $B = 200$ paired resamples). OLS stars use HC3 standard errors and are reported as printed in the log (the log applies the thresholds 0.001, 0.01 and 0.05 to the OLS column, so OLS stars are conservative relative to the quantile columns). The pseudo-$R^2$ is that of \citet{koenker1999goodness}. All entries are parsed from \texttt{results/sqr\_multi\_segment\_output.txt}, the preserved log of the original run of \texttt{scripts/05\_sqr\_multi\_segment.py}, by \texttt{scripts/06\_tables\_figures\_from\_log.py}.
\end{tablenotes}
\end{threeparttable}
\end{table}