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House price dynamics with dispersed information

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  • Favara, Giovanni
  • Song, Zheng

Abstract

We use a user-cost model to study how dispersed information affects the equilibrium house price. In the model, agents are disparately informed about local economic conditions, consume housing services, and speculate on price changes. Optimists, who expect high house price growth, buy in anticipation of capital gains; pessimists, who expect capital losses, prefer to rent. Because of short-selling constraints on housing, pessimistic expectations are not incorporated in the price of owned houses and the equilibrium price is higher and more volatile relative to the benchmark case of common information. We present evidence supporting the modelʼs predictions in a panel of US cities.

Suggested Citation

  • Favara, Giovanni & Song, Zheng, 2014. "House price dynamics with dispersed information," Journal of Economic Theory, Elsevier, vol. 149(C), pages 350-382.
    • Handle: RePEc:eee:jetheo:v:149:y:2014:i:c:p:350-382
    DOI: 10.1016/j.jet.2013.05.001
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    3. Kindermann, Fabian & Le Blanc, Julia & Piazzesi, Monika & Schneider, Martin, 2021. "Learning about Housing Cost: Survey Evidence from the German House Price Boom," CEPR Discussion Papers 16223, C.E.P.R. Discussion Papers.
    4. Bremus, Franziska & Krause, Thomas & Noth, Felix, 2021. "Lender-specific mortgage supply shocks and macroeconomic performance in the United States," IWH Discussion Papers 3/2021, Halle Institute for Economic Research (IWH).
    5. Charles G. Nathanson & Eric Zwick, 2017. "Arrested Development: Theory and Evidence of Supply-Side Speculation in the Housing Market," NBER Working Papers 23030, National Bureau of Economic Research, Inc.
    6. Niu, G., 2014. "Essays on subjective expectations and mortality trends," Other publications TiSEM b9f72836-d8ad-478b-adca-4, Tilburg University, School of Economics and Management.
    7. Dan Li & Geng Li, 2014. "Are Household Investors Noise Traders: Evidence from Belief Dispersion and Stock Trading Volume," Finance and Economics Discussion Series 2014-35, Board of Governors of the Federal Reserve System (U.S.).
    8. Franziska Bremus & Thomas Krause & Felix Noth, 2021. "Lender-Specific Mortgage Supply Shocks and Macroeconomic Performance in the United States," Discussion Papers of DIW Berlin 1936, DIW Berlin, German Institute for Economic Research.
    9. Geng Li & Nitish R. Sinha, 2023. "Are Real Assets Owners Less Averse to Inflation? Evidence from Consumer Sentiments and Inflation Expectations," Finance and Economics Discussion Series 2023-058, Board of Governors of the Federal Reserve System (U.S.).
    10. Bauer, Gregory H., 2017. "International house price cycles, monetary policy and credit," Journal of International Money and Finance, Elsevier, vol. 74(C), pages 88-114.
    11. Martin Hodula & Milan Szabo & Lukas Pfeifer & Martin Melecky, 2022. "Cooling the Mortgage Loan Market: The Effect of Recommended Borrower-Based Limits on New Mortgage Lending," Working Papers 2022/3, Czech National Bank.
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    13. Allen, Franklin & Vayanos, Dimitri & Vives, Xavier, 2014. "Introduction to financial economics," Journal of Economic Theory, Elsevier, vol. 149(C), pages 1-14.
    14. Tang, Yang & Zeng, Ting & Zhu, Shenghao, 2020. "Bubbles and house price dispersion in the United States during 1975–2017," Journal of Macroeconomics, Elsevier, vol. 63(C).
    15. Bremus, Franziska & Krause, Thomas & Noth, Felix, 2017. "Bank-specific shocks and house price growth in the U.S," IWH Discussion Papers 3/2017, Halle Institute for Economic Research (IWH).
    16. Min Zheng, 2015. "Heterogeneous Expectations and Speculative Behavior in Insurance-Linked Securities," Discrete Dynamics in Nature and Society, Hindawi, vol. 2015, pages 1-12, March.
    17. Malmendier, Ulrike M. & Botsch, Matthew J., 2020. "The Long Shadows of the Great Inflation: Evidence from Residential Mortgages," CEPR Discussion Papers 14934, C.E.P.R. Discussion Papers.
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    19. Hodula, Martin & Melecký, Martin & Pfeifer, Lukáš & Szabo, Milan, 2023. "Cooling the mortgage loan market: The effect of borrower-based limits on new mortgage lending," Journal of International Money and Finance, Elsevier, vol. 132(C).

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    More about this item

    Keywords

    Housing prices; Information dispersion; Income dispersion;
    All these keywords.

    JEL classification:

    • 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
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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