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Housing Search Frictions: Evidence from Detailed Search Data and a Field Experiment

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Listed:
  • Peter Bergman

    (Columbia University)

  • Eric Chan

    (Babson College)

  • Adam Kapor

    (Princeton University)

Abstract

We randomized school quality information onto the listings of a nationwide housing website for low-income families. We use this variation and data on families’ search and location choices to estimate a model of housing search and neighborhood choice that incorporates imperfect information and potentially biased beliefs. We find that imperfect information and biased beliefs cause families to live in neighborhoods with lower-performing, more segregated schools. Families underestimate school quality conditional on neighborhood characteristics. If we had ignored this information problem, we would have estimated that families value school quality relative to their commute downtown by half that of the truth.

Suggested Citation

  • Peter Bergman & Eric Chan & Adam Kapor, 2020. "Housing Search Frictions: Evidence from Detailed Search Data and a Field Experiment," Working Papers 2020-61, Princeton University. Economics Department..
    • Handle: RePEc:pri:econom:2020-61
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    References listed on IDEAS

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    Cited by:

    1. Patrick Kline & Evan K. Rose & Christopher R. Walters, 2024. "A Discrimination Report Card," American Economic Review, American Economic Association, vol. 114(8), pages 2472-2525, August.
    2. Fernando V. Ferreira & Maisy Wong, 2022. "Neighborhood Choice After COVID: The Role of Rents, Amenities, and Work-From-Home," NBER Working Papers 29960, National Bureau of Economic Research, Inc.
    3. Dionissi Aliprantis & Hal Martin & Kristen Tauber, 2020. "What Determines the Success of Housing Mobility Programs?," Working Papers 20-36R, Federal Reserve Bank of Cleveland, revised 19 Oct 2022.
    4. Aliprantis, Dionissi & Martin, Hal & Phillips, David, 2022. "Landlords and access to opportunity," Journal of Urban Economics, Elsevier, vol. 129(C).
    5. Robert Ainsworth & Rajeev Dehejia & Cristian Pop-Eleches & Miguel Urquiola, 2020. "Information, Preferences, and Household Demand for School Value Added," NBER Working Papers 28267, National Bureau of Economic Research, Inc.
    6. Chan, Eric W. & Fan, Yulian, 2023. "Housing discrimination in the low-income context: Evidence from a correspondence experiment," Journal of Housing Economics, Elsevier, vol. 59(PA).
    7. Fan, Ying & Fu, Yuqi & Yang, Zan & Chen, Ming, 2024. "Search frictions in rental markets: Evidence from urban China," China Economic Review, Elsevier, vol. 83(C).
    8. Mikhail Golosov & Michael Graber & Magne Mogstad & David Novgorodsky, 2024. "How Americans Respond to Idiosyncratic and Exogenous Changes in Household Wealth and Unearned Income," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 139(2), pages 1321-1395.
    9. Jiarui Liu, 2021. "Sequential Search Models: A Pairwise Maximum Rank Approach," Papers 2104.13865, arXiv.org, revised Nov 2021.
    10. Fan, Ying & Fu, Yuqi & Yang, Zan & Chen, Ming, 2023. "Search Frictions in Rental Markets: Evidence from Urban China," Working Paper Series 23/11, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance.

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    More about this item

    Keywords

    housing; school choice; residential choice;
    All these keywords.

    JEL classification:

    • I00 - Health, Education, and Welfare - - General - - - General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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