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Waves of Optimism: House Price History, Biased Expectations and Credit Cycles

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  • Alessia De Stefani

Abstract

Using the Michigan Survey of Consumers, I show that American households have heterogeneous expectations about the future of house prices, which largely depend upon the history of past house price realizations in the local area of residence. House price expectations are also systematically biased and inefficient, and as such inconsistent with even weak forms of the rational expectations hypothesis. In particular, house price forecasts display an extrapolative component: expectations are over-optimistic in good times and over-pessimistic in bad ones. This systematic bias matters because consumers make financial decisions on the basis of their house price beliefs. Exploiting an exogenous shift in housing sentiment I show that when individuals expect the value of their properties to rise, they borrow against the anticipated increase in home equity. One standard deviation increase in house price expectations changes the average leverage ratios on long-term fixed-rates mortgages by 6% of a standard deviation. The magnitude of this effect doubles when considering only home equity mortgages.

Suggested Citation

  • Alessia De Stefani, 2017. "Waves of Optimism: House Price History, Biased Expectations and Credit Cycles," Edinburgh School of Economics Discussion Paper Series 282, Edinburgh School of Economics, University of Edinburgh.
  • Handle: RePEc:edn:esedps:282
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    Cited by:

    1. Hodula Martin & Malovaná Simona & Frait Jan, 2022. "Too much of a good thing? Households’ macroeconomic conditions and credit dynamics," German Economic Review, De Gruyter, vol. 23(4), pages 529-566, December.
    2. Martin Hodula & Simona Malovana & Jan Frait, 2019. "Introducing a New Index of Households' Macroeconomic Conditions," Working Papers 2019/10, Czech National Bank.
    3. Itzhak Ben-David & Pascal Towbin & Sebastian Weber, 2019. "Inferring Expectations from Observables: Evidence from the Housing Market," NBER Working Papers 25702, National Bureau of Economic Research, Inc.
    4. Tan, Zhengxun & Tang, Qianqian & Meng, Juan, 2022. "The effect of monetary policy on China’s housing prices before and after 2017: A dynamic analysis in DSGE model," Land Use Policy, Elsevier, vol. 113(C).
    5. Mairead Roiste & Apostolos Fasianos & Robert Kirkby & Fang Yao, 2021. "Are Housing Wealth Effects Asymmetric in Booms and Busts?," The Journal of Real Estate Finance and Economics, Springer, vol. 62(4), pages 578-628, May.
    6. Simona Malovaná & Martin Hodula & Jan Frait, 2021. "What Does Really Drive Consumer Confidence?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(3), pages 885-913, June.

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    More about this item

    Keywords

    house price; mortgage;

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles

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