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WP26

Can Autonomous AI Agents Discover the Fundamental Value of Real Estate? Evidence from Quebec Transactions and Multi-Agent Deliberation

Simon-Pierre Boucher · Cahiers de recherche UQO · octobre 2026 · v1.0

Committees of role-specialised language-model agents that debate before answering are increasingly proposed as valuation tools. This paper asks whether the debate adds information. In a preregistered experiment on 631,866 arm's-length residential sales registered in Quebec between 2021 and 2026, evaluated under a…

WP14

Hedonic House Pricing with Language-Model and Vision Features: Evidence from Quebec Real-Estate Listings

Simon-Pierre Boucher · Cahiers de recherche UQO · octobre 2026 · v2.1

Hedonic house-price models are bounded by the characteristics an analyst can measure, yet much of a home's value is recorded only in the free-text description and photographs of its listing. This paper treats general-purpose AI models as a feature-engineering technology: a large language model converts each…