\begin{table}[H]
\centering
\caption{Wald tests of equal amenity coefficients at $\tau = 0.10$ and $\tau = 0.90$, by segment}
\label{tab:wald}
\begin{threeparttable}
\begin{tabular}{lcccc}
\toprule
Amenity indicator & Houses & Condominiums & Multiplexes & Vacant land \\
\midrule
Highway & 17.12$^{***}$ & 1.34 & 11.58$^{***}$ & 3.18$^{*}$ \\
Hospital & 12.11$^{***}$ & 0.02 & 7.09$^{***}$ & 0.98 \\
Park & 6.66$^{***}$ & 0.22 & 0.43 & 2.79$^{*}$ \\
School & 0.05 & 0.00 & 0.35 & 9.00$^{***}$ \\
Transit & 11.64$^{***}$ & 0.44 & 0.08 & 0.15 \\
Golf course & 0.63 & 0.18 & 1.88 & 13.11$^{***}$ \\
Garage & 0.22 & 0.10 & 4.44$^{**}$ & --- \\
\midrule
Rejections at 5\% & 4/7 & 0/7 & 3/7 & 2/6 \\
\bottomrule
\end{tabular}
\begin{tablenotes}
\small
\item \textit{Notes:} Entries are the statistic of equation~\eqref{eq:wald}, $W = [\hat\beta_k(0.10) - \hat\beta_k(0.90)]^2 / [\widehat{\mathrm{Var}}(\hat\beta_k(0.10)) + \widehat{\mathrm{Var}}(\hat\beta_k(0.90))]$, with bootstrap variances, referred to a $\chi^2(1)$ distribution. The denominator omits the (typically positive) covariance between the two quantile estimators, which makes the test conservative. $^{***}$, $^{**}$ and $^{*}$ denote rejection at the 1, 5 and 10 percent levels. 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}