Nonparametric Estimation Of Expectations In The Analysis Of Discrete Choice Under Uncertainty

Charles Manski

No 292695, SSRI Workshop Series from University of Wisconsin-Madison, Social Systems Research Institute

Abstract: The usual approach to econometric analysis of discrete choice under uncertainty imposes a parametric specification on agents' expectations. In some settings, one may estimate expectations nonparametrically and then infer preferences. Manski (1988) introduces this idea in the context of a population of agents who face finite horizon dynamic choice problems. The paper makes the idealized assumption that realizations reveal expectations perfectly. The present paper gives conditions under which the idea remains valid in the more realistic setting where realizations estimate expectations imperfectly.

Keywords: Research; Methods/; Statistical; Methods (search for similar items in EconPapers)
Pages: 23
Date: 1988-05
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Persistent link: https://EconPapers.repec.org/RePEc:ags:uwssri:292695

DOI: 10.22004/ag.econ.292695

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