Reinforcement Learning and Savings Behavior.

Reinforcement Learning and Savings Behavior.
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DOI:
10.1111/j.1540-6261.2009.01509.x
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发表时间:
2009-12
期刊:
The Journal of finance
影响因子:
--
通讯作者:
Metrick A
Metrick A
中科院分区:
其他
文献类型:
--
作者:
Choi JJ;Laibson D;Madrian BC;Metrick A

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我们表明,个人投资者在做出储蓄决策时会根据个人经验进行过度推断。那些在401(k)计划中经历了特别有益的储蓄结果的投资者--高平均和/或低方差回报--比那些储蓄经验较少的投资者更能提高他们的401(k)储蓄率。这一发现不是由总的时间序列冲击,收入效应,理性学习投资技巧,投资者固定效应,或随时间变化的投资者水平的异质性,与投资组合的股票,债券和现金资产类别的配置。我们讨论了股权溢价之谜和干预措施,旨在改善家庭财务状况的影响。
We show that individual investors over-extrapolate from their personal experience when making savings decisions. Investors who experience particularly rewarding outcomes from saving in their 401(k)—a high average and/or low variance return—increase their 401(k) savings rate more than investors who have less rewarding experiences with saving. This finding is not driven by aggregate time-series shocks, income effects, rational learning about investing skill, investor fixed effects, or time-varying investor-level heterogeneity that is correlated with portfolio allocations to stock, bond, and cash asset classes. We discuss implications for the equity premium puzzle and interventions aimed at improving household financial outcomes.
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