\begin{table}[htbp]\centering
\caption{Grand-model coefficients under alternative variance estimators}
\label{tab:se_comparison}
\begin{threeparttable}\small
\begin{tabular}{lcccccc}
\toprule
 & & \multicolumn{4}{c}{Standard error} & Wild-cluster \\
\cmidrule(lr){3-6}
 & Coef. & HC1 & \makecell{FSA\\($G=1,155$)} & \makecell{Province\\($G=9$)} & Two-way & $p$-value \\
\midrule
$\ln$ living area & 0.529 & 0.0037 & 0.0094 & 0.0373 & 0.0375 & 0.004 \\
Full bathrooms & 0.112 & 0.0016 & 0.0038 & 0.0120 & 0.0121 & 0.004 \\
Half bathrooms & -0.034 & 0.0021 & 0.0066 & 0.0315 & 0.0316 & 0.523 \\
Bedrooms & -0.006 & 0.0011 & 0.0021 & 0.0084 & 0.0085 & 0.582 \\
$\ln(1+$lot m$^2)$ & 0.067 & 0.0011 & 0.0025 & 0.0060 & 0.0061 & 0.004 \\
\bottomrule
\end{tabular}
\begin{tablenotes}\footnotesize\item Notes: Grand model (M5) estimated on the FSA-demeaned data. HC1 is the heteroskedasticity-robust estimator; FSA and province cluster by neighbourhood and by province; two-way clusters by both. The last column is the $p$-value of a restricted wild-cluster bootstrap-$t$ test at the province level with Rademacher weights and full enumeration of the $2^{9}=512$ sign vectors \citep{cameron2015practitioner,mackinnon2017wild}; its smallest attainable value is $2/512=0.004$.
\end{tablenotes}
\end{threeparttable}
\end{table}