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STOCK MARKET CRASH AND EXPECTATIONS OF AMERICAN HOUSEHOLDS

机译:股票市场的崩溃和美国家庭的期望

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摘要

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.
机译:本文利用有关主观概率的数据来研究2008年股市崩盘对家庭对股市指数回报的期望的影响。我们使用的健康与退休研究数据来自2008年2月至2009年2月。崩溃的影响是从访谈之日起确定的,事实证明这与先前的股市预期无关。我们估计了崩溃对预期收益的总体平均值,收益不确定性的总体平均值(主观标准差)以及预期收益的横截面异质性(分歧)的影响。我们显示了对概率答案的简单简化形式回归以及侧重于关注参数并将结构噪声与相关异质性分开的更具结构性的模型的估计。崩溃发生后,我们发现预期和不确定性的总体平均水平暂时上升。对横截面异质性的影响更为显着且持续时间更长,这意味着分歧的长期大量增加。持不同意见者之间的分歧增加幅度更大,知识渊博的人以及具有较高认知能力的股东之间的分歧会随着交易量和市场波动而变化。

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  • 来源
    《Journal of applied econometrics》 |2011年第3期|p.393-415|共23页
  • 作者单位

    Department of Economics, University of Michigan, Ann Arbor, MI, USA;

    Department of Economics, Central European University, Budapest, Hungary,Institute of Economics, Hungarian Academy of Sciences, Budapest, Hungary;

    Department of Economics, University of Michigan, Ann Arbor, MI, USA,Population Studies Center and Survey Research Center, University of Michigan, Ann Arbor, Ml, USA;

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