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An Extrapolative Model of House Price Dynamics

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  • Edward L. Glaeser
  • Charles G. Nathanson

Abstract

A modest approximation by homebuyers leads house prices to display three features that are present in the data but usually missing from perfectly rational models: momentum at one-year horizons, mean reversion at five-year horizons, and excess longer-term volatility relative to fundamentals. Valuing a house involves forecasting the current and future demand to live in the surrounding area. Buyers forecast using past transaction prices. Approximating buyers do not adjust for the expectations of past buyers, and instead assume that past prices reflect only contemporaneous demand, as with a capitalization rate formula. Consistent with survey evidence, this approximation leads buyers to expect increases in the market value of their homes after recent house price increases, to fail to anticipate the price busts that follow booms, and to be overconfident in their assessments of the housing market.

Suggested Citation

  • Edward L. Glaeser & Charles G. Nathanson, 2015. "An Extrapolative Model of House Price Dynamics," NBER Working Papers 21037, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:21037
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    References listed on IDEAS

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    Cited by:

    1. John Y. Campbell, 2016. "Restoring Rational Choice: The Challenge of Consumer Financial Regulation," American Economic Review, American Economic Association, vol. 106(5), pages 1-30, May.
    2. Johannes Stroebel, 2016. "EconomicDynamics Interview: Johannes Stroebel on real estate dynamics," EconomicDynamics Newsletter, Review of Economic Dynamics, vol. 17(2), November.
    3. Michael Bailey & Ruiqing Cao & Theresa Kuchler & Johannes Stroebel, 2016. "Social Networks and Housing Markets," NBER Working Papers 22258, National Bureau of Economic Research, Inc.
    4. Rose Neng Lai & Robert Van Order, 2019. "Shadow Banking and the Property Market in China," International Real Estate Review, Global Social Science Institute, vol. 22(3), pages 359-397.
    5. Theresa Kuchler & Basit Zafar, 2019. "Personal Experiences and Expectations about Aggregate Outcomes," Journal of Finance, American Finance Association, vol. 74(5), pages 2491-2542, October.
    6. Christopher L Foote & Lara Loewenstein & Paul S Willen, 2021. "Cross-Sectional Patterns of Mortgage Debt during the Housing Boom: Evidence and Implications," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(1), pages 229-259.
    7. Alexander N. Bogin & Stephen D. Bruestle & William M. Doerner, 2017. "How Low Can House Prices Go? Estimating a Conservative Lower Bound," The Journal of Real Estate Finance and Economics, Springer, vol. 54(1), pages 97-116, January.
    8. Deeksha Gupta, 2018. "Too Much Skin-in-the-Game? The Effect of Mortgage Market Concentration on Credit and House Prices," 2018 Meeting Papers 512, Society for Economic Dynamics.
    9. Rose Neng Lai & Robert A. Van Order, 2020. "A Tale of Two Countries: Comparing the US and Chinese Housing Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 61(3), pages 505-547, October.
    10. Cerutti, Eugenio & Dagher, Jihad & Dell'Ariccia, Giovanni, 2017. "Housing finance and real-estate booms: A cross-country perspective," Journal of Housing Economics, Elsevier, vol. 38(C), pages 1-13.
    11. Rünstler, Gerhard & Balfoussia, Hiona & Burlon, Lorenzo & Buss, Ginters & Comunale, Mariarosaria & De Backer, Bruno & Dewachter, Hans & Guarda, Paolo & Haavio, Markus & Hindrayanto, Irma & Iskrev, Nik, 2018. "Real and financial cycles in EU countries - Stylised facts and modelling implications," Occasional Paper Series 205, European Central Bank.
    12. Barberis, Nicholas & Greenwood, Robin & Jin, Lawrence & Shleifer, Andrei, 2018. "Extrapolation and bubbles," Journal of Financial Economics, Elsevier, vol. 129(2), pages 203-227.
    13. Rots, Eyno, 2017. "Imperfect information and the house price in a general-equilibrium model," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 215-231.
    14. Smith, Scott & Fuller, Debra & Bogin, Alex & Polkovnichenko, Nataliya & Weiher, Jesse, 2016. "Countercyclical capital regime revisited: Tests of robustness," Journal of Economics and Business, Elsevier, vol. 84(C), pages 50-78.
    15. Daniel L. Tortorice, 2019. "Long-Run Expectations, Learning and the US Housing Market," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(4), pages 497-531, October.
    16. Cozzi, Guido & Davenport, Margaret, 2017. "Extrapolative expectations and capital flows during convergence," Journal of International Economics, Elsevier, vol. 108(C), pages 169-190.
    17. Basit Zafar & Theresa Kuchler, 2015. "Expectation Formation," 2015 Meeting Papers 678, Society for Economic Dynamics.
    18. Rose Neng Lai & Robert Van Order, 2019. "Shadow Banking and the Property Market in China," International Real Estate Review, Asian Real Estate Society, vol. 22(3), pages 361-399.

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    JEL classification:

    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

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