\begin{table}[htbp]\centering
\caption{The urban price gradient: location premium and distance to the nearest metro}
\label{tab:gradient}
\begin{threeparttable}
\begin{tabular}{lccc}
\toprule
\multicolumn{4}{l}{\emph{Panel A: mean location premium by distance band}} \\
Distance band & Listings & Median km & Premium (\%) \\
\midrule
\quad 0--5 km & 12,979 & 2 & +20.7 \\
\quad 5--10 km & 11,358 & 8 & +11.8 \\
\quad 10--20 km & 20,373 & 14 & +1.6 \\
\quad 20--40 km & 21,594 & 28 & +11.0 \\
\quad 40--80 km & 20,927 & 60 & +6.5 \\
\quad 80--160 km & 25,565 & 104 & -1.0 \\
\quad 160--320 km & 19,856 & 218 & -13.2 \\
\quad $>$320 km & 9,469 & 485 & -38.0 \\
\midrule
\multicolumn{4}{l}{\emph{Panel B: regressions of the location premium on $\ln(\text{distance})$}} \\
 & Slope & SE & $R^2$ \\
\midrule
\quad Pooled & -0.0821 & (0.0074) & 0.083 \\
\quad Nearest-metro intercepts & -0.0793 & (0.0045) & 0.336 \\
\quad Quadratic: $\ln d$ & 0.0733 & (0.0275) & \multirow{2}{*}{0.106} \\
\quad \phantom{Quadratic:} $(\ln d)^2$ & -0.0229 & (0.0037) & \\
\bottomrule
\end{tabular}
\begin{tablenotes}\footnotesize\item Notes: The location premium is the residual of the model with structural, type and ownership controls but no location effects; the premium in Panel~A is $100\,(e^{\bar{u}}-1)$ for the band mean $\bar{u}$. Distance is the great-circle distance to the nearest of nine metropolitan centres (Toronto, Montreal, Vancouver, Calgary, Ottawa--Gatineau, Edmonton, Winnipeg, Quebec City, Halifax); listings within 0.5~km of a centre are excluded from Panel~B. FSA-clustered standard errors.
\end{tablenotes}
\end{threeparttable}
\end{table}