Special Issue Article on ‘Measurement and Analysis of Subjective Expectations’
Stock market crash and expectations of American households
Article first published online: 24 NOV 2010
DOI: 10.1002/jae.1226
Copyright © 2010 John Wiley & Sons, Ltd.
Issue

Journal of Applied Econometrics
Special Issue: Measurement and Analysis of Subjective Expectations
Volume 26, Issue 3, pages 393–415, April/May 2011
Additional Information
How to Cite
Hudomiet, P., Kézdi, G. and Willis, R. J. (2011), Stock market crash and expectations of American households. J. Appl. Econ., 26: 393–415. doi: 10.1002/jae.1226
Publication History
- Issue published online: 23 MAR 2011
- Article first published online: 24 NOV 2010
Funded by
- National Institute of Aging. Grant Numbers: PO1 AG026571, RO3 AG29469
Abstract
This paper utilizes data on subjective probabilities to study the impact of the stock market crash of 2008 on households' expectations about the returns on the stock market index. We use data from the Health and Retirement Study that was fielded in February 2008 through February 2009. The effect of the crash is identified from the date of the interview, which is shown to be exogenous to previous stock market expectations. We estimate the effect of the crash on the population average of expected returns, the population average of the uncertainty about returns (subjective standard deviation), and the cross-sectional heterogeneity in expected returns (disagreement). We show estimates from simple reduced-form regressions on probability answers as well as from a more structural model that focuses on the parameters of interest and separates survey noise from relevant heterogeneity. We find a temporary increase in the population average of expectations and uncertainty right after the crash. The effect on cross-sectional heterogeneity is more significant and longer lasting, which implies substantial long-term increase in disagreement. The increase in disagreement is larger among the stockholders, the more informed, and those with higher cognitive capacity, and disagreement co-moves with trading volume and volatility in the market. Copyright © 2010 John Wiley & Sons, Ltd.

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