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New Metro Stations and Real Estate Dynamics: Evidence from Online Platform Data

Author

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  • Alexandra Verlhiac

Abstract

This study investigates the impact of new metro stations on the real estate market in the Paris metropolitan area, leveraging rich online platform data from SeLoger. The dataset includes detailed information on listing prices, time on market, user engagement metrics (clicks and contact forms), and transaction data from DV3F. The analysis focuses on recent metro line extensions, with a methodology combining matching techniques and the Callaway and Sant’Anna (2021) estimator to identify causal effects across staggered opening timelines. Results highlight a temporary increase in property prices and a significant reduction in time on market following station openings, reflecting greater market efficiency. These changes are accompanied by shifts in online user behavior, such as fewer clicks per listing due to faster transaction cycles. By integrating digital platform data into real estate research, this paper offers novel insights into how urban infrastructure developments influence market dynamics. Future extensions will assess the anticipated effects of upcoming Grand Paris Express stations, providing a comprehensive framework for evaluating the interplay between urban mobility and real estate markets.

Suggested Citation

  • Alexandra Verlhiac, 2025. "New Metro Stations and Real Estate Dynamics: Evidence from Online Platform Data," ERES eres2025_175, European Real Estate Society (ERES).
    • Handle: RePEc:arz:wpaper:eres2025_175
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    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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