% Author: Simon-Pierre Boucher — contact@spboucher.ai
% Generated by scripts/06_tables.py — do not edit by hand.
\begin{table}[!htbp]
\centering
\caption{Quantile regression coefficients for selected semantic dimensions.}
\label{tab:quantile}
\small
\begin{adjustbox}{max width=\textwidth}
\begin{tabular}{lR{1.5cm}R{1.5cm}R{1.5cm}R{1.5cm}l}
\toprule
\textbf{Dimension} & $\boldsymbol{\tau = 0.25}$ & $\boldsymbol{\tau = 0.50}$ & $\boldsymbol{\tau = 0.75}$ & \textbf{OLS} & \textbf{Pattern} \\
\midrule
Modern/Contemporary & 0.148*** & 0.121*** & 0.155*** & 0.152*** & High at both tails \\
Luxury & 0.093*** & 0.130*** & 0.160*** & 0.133*** & Increasing \\
Land \& Nature & 0.105*** & 0.098*** & 0.104*** & 0.122*** & Stable \\
Family-Friendly & $-$0.121*** & $-$0.105*** & $-$0.108*** & $-$0.124*** & Mildly attenuating \\
Motivated Seller & $-$0.091*** & $-$0.046* & $-$0.039 & $-$0.089*** & Attenuating \\
Needs Renovation & $-$0.090*** & $-$0.065*** & $-$0.044** & $-$0.083*** & Attenuating \\
\bottomrule
\multicolumn{6}{l}{\footnotesize{\signote\ Quantile regressions of Model~D; standard errors follow the kernel-based estimator of \citet{koenker1978regression}.}}
\end{tabular}
\end{adjustbox}
\end{table}