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Does information to buyers affect the sales price of a property? Mandatory disclosure and the hedonic price model – A test on French data

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  • Amélie Mauroux

Abstract

[eng] Under the assumption of complete and perfect information, hedonic prices can be interpreted as marginal willingness to pay. This assumption may appear strong, especially in cases of exposure to natural risks. This assumption is tested for the French real estate market: we assess the impact of an informational shock – the implementation of the obligation to inform buyers and tenants (IAL) on 1st June 2006 – on real estate prices. If the information available to buyers was perfect, there should not be any impact. A hedonic price model is estimated in difference-in-differences, using notarial data spatially matched with maps of regulated zones covered by flood risk prevention plans. The results do not show an impact of the introduction of the IAL on the average price of the houses concerned. However, for certain categories of properties (ground floor apartments) and certain municipalities (where the housing market is the least tense, such as the so-called “recentred” Robien zone C), the estimated impact is negative and significant, a sign that not all buyers were initially in a situation of complete and perfect information.

Suggested Citation

  • Amélie Mauroux, 2018. "Does information to buyers affect the sales price of a property? Mandatory disclosure and the hedonic price model – A test on French data," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 500-501-5, pages 201-220.
    • Handle: RePEc:nse:ecosta:ecostat_2018_500-501-502_11
    DOI: https://doi.org/10.24187/ecostat.2018.500t.1952
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    1. Céline Grislain-Letrémy & Arthur Katossky, 2013. "Les risques industriels et le prix des logements," Économie et Statistique, Programme National Persée, vol. 460(1), pages 79-106.
    2. Timothy J. Bartik, 2008. "Measuring the Benefits of Amenity Improvements in Hedonic Price Models," Book chapters authored by Upjohn Institute researchers, in: Richard E. Just & Darrell L. Hueth & Andrew Schmitz (ed.),Applied Welfare Economics, pages 643-654, W.E. Upjohn Institute for Employment Research.
    3. John A. List & Michael K. Price (ed.), 2013. "Handbook on Experimental Economics and the Environment," Books, Edward Elgar Publishing, number 12964.
    4. Ai, Chunrong & Norton, Edward C., 2003. "Interaction terms in logit and probit models," Economics Letters, Elsevier, vol. 80(1), pages 123-129, July.
    5. Bin, Okmyung & Landry, Craig E., 2013. "Changes in implicit flood risk premiums: Empirical evidence from the housing market," Journal of Environmental Economics and Management, Elsevier, vol. 65(3), pages 361-376.
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    More about this item

    JEL classification:

    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

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