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Structural Demand Estimation with Borrowing Constraints

Author

Listed:
  • Amine Ouazad

    (INSEAD - Institut Européen d'administration des Affaires)

  • Romain Rancière

    (International Monetary Fund (IMF), CEPR - Center for Economic Policy Research, PSE - Paris-Jourdan Sciences Economiques - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - INRA - Institut National de la Recherche Agronomique - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

Abstract

Structural models of housing or product choice use observed demand to estimate household preferences. However, household demand may be partly determined by borrowing constraints, limiting households' choice set. Such borrowing constraints will differ across locations, households, and years. We put forward a model of neighborhood choice with borrowing constraints that accounts for mortgage credit approval rates. We estimate the model's parameters using micro-level data on households, property transactions and mortgage applications for the San Francisco Bay. Approval rates vary significantly both across households and across neighborhoods. The model with borrowing constraints yields significantly higher estimated willingness to pay to live close to good schools and in majority-white neighborhoods. The model provides general equilibrium estimates of the impact of a relaxation of lending standards. Between 2000 and 2006, the model provides two out-of-sample predictions: (i) a compression of the price distribution and (ii) a decline in black households' exposure to white households. Both predictions are supported by empirical observation.

Suggested Citation

  • Amine Ouazad & Romain Rancière, 2015. "Structural Demand Estimation with Borrowing Constraints," Working Papers halshs-01207997, HAL.
    • Handle: RePEc:hal:wpaper:halshs-01207997
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01207997
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    References listed on IDEAS

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    1. Sophie Dantan & Nathalie Picard, 2019. "Borrowing constraints and location choice - Evidence from the Paris Region," THEMA Working Papers 2019-05, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.

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    More about this item

    Keywords

    household preference;

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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