Slow learning in the market for lemons: A note on reinforcement learning and the winner's curse

被引:0
|
作者
Feltovich, N [1 ]
机构
[1] Univ Houston, Dept Econ, Houston, TX 77204 USA
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中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A common result of experiments involving the "winner's curse" is that it is very persistent; subjects tend to overbid repeatedly, even when this causes them to lose money. Why do people keep making the same mistakes over and over again? We consider a class of one-player decision problems which are a generalization of Akerlof's [1] market-for-lemons model. We show that if decision makers learn via reinforcement, specifically by the reference point model of Erev and Roth [8], their behavior typically changes very slowly, and persistent mistakes are likely. We also develop testable predictions regarding when individuals ought to be able to learn quickly.
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页码:1023 / 1026
页数:4
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