Structural Estimation of Behavioral Heterogeneity
Zhentao Shi and
Papers from arXiv.org
We develop a behavioral asset pricing model in which agents trade in a market with information friction. Profit-maximizing agents switch between trading strategies in response to dynamic market conditions. Due to noisy private information about the fundamental value, the agents form different evaluations about heterogeneous strategies. We exploit a thin set---a small sub-population---to pointly identify this nonlinear model, and estimate the structural parameters using extended method of moments. Based on the estimated parameters, the model produces return time series that emulate the moments of the real data. These results are robust across different sample periods and estimation methods.
Date: 2018-02, Revised 2018-06
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Published in Journal of Applied Econometrics 33, no. 5 (2018): 690-707
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Journal Article: Structural estimation of behavioral heterogeneity (2018)
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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:1802.03735
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