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An Extrapolative Model of House Price Dynamics

Author

Listed:
  • Charles Nathanson

    (Kellogg School of Management, Northweste)

  • Edward Glaeser

    (Harvard University)

Abstract

A modest approximation by homebuyers leads house prices to display three attributes that are present in the data but usually missing from perfectly rational models of housing dynamics: 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 the history of transaction prices. Approximating buyers do not adjust for the expectations of past buyers, and instead assume that past prices reflect only contemporaneous demand. 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

  • Charles Nathanson & Edward Glaeser, 2015. "An Extrapolative Model of House Price Dynamics," 2015 Meeting Papers 1108, Society for Economic Dynamics.
  • Handle: RePEc:red:sed015:1108
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    References listed on IDEAS

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    Cited by:

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    2. Barberis, Nicholas & Greenwood, Robin & Jin, Lawrence & Shleifer, Andrei, 2018. "Extrapolation and bubbles," Journal of Financial Economics, Elsevier, vol. 129(2), pages 203-227.
    3. 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.
    4. Michael Bailey & Ruiqing Cao & Theresa Kuchler & Johannes Stroebel, 2016. "Social Networks and Housing Markets," NBER Working Papers 22258, National Bureau of Economic Research, Inc.
    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. 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.
    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. 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.
    9. Christopher L. Foote & Lara Loewenstein & Paul S. Willen, 2016. "Cross-Sectional Patterns of Mortgage Debt during the Housing Boom: Evidence and Implications," NBER Working Papers 22985, National Bureau of Economic Research, Inc.
    10. Cozzi, Guido & Davenport, Margaret, 2017. "Extrapolative expectations and capital flows during convergence," Journal of International Economics, Elsevier, vol. 108(C), pages 169-190.
    11. Basit Zafar & Theresa Kuchler, 2015. "Expectation Formation," 2015 Meeting Papers 678, Society for Economic Dynamics.
    12. 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.
    13. 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.

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