spb/wp14_uqo

1% ============================================================================2% Highlights — separate file required at Elsevier submission3% (3-5 bullets, max 85 characters each, results-oriented)4% ============================================================================5\documentclass[12pt]{article}6\usepackage[utf8]{inputenc}7\usepackage[T1]{fontenc}8\begin{document}9\section*{Highlights}10\begin{itemize}11  \item LLM and vision models turn listing text and photos into hedonic regressors12  \item Schema-constrained decoding makes AI outputs reproducible econometric variables13  \item Two AI feature layers add four points of $R^2$ to a rich hedonic model14  \item Façade-vision features give the largest out-of-sample gain of any block15  \item Curb appeal, materials, and luxury cues carry sensible implicit prices16\end{itemize}17\end{document}18