NDLI: Nonstationary Dynamic Models with Finite Dependence

Content Provider	Semantic Scholar
Author	Arcidiacono, Peter Miller, Robert A.
Copyright Year	2015
Abstract	The estimation of non-stationary dynamic discrete choice models typically requires making assumptions far beyond the length of the data. We extend the class of dynamic discrete choice models that require only a few-period-ahead conditional choice probabilities, and develop algorithms to calculate the finite dependence paths. We do this both in single agent and games settings, resulting in expressions for the value functions that allow for much weaker assumptions regarding the time horizon and the transitions of the state variables beyond the sample period.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://public.econ.duke.edu/~psarcidi/finitedependence.pdf
Alternate Webpage(s)	http://qeconomics.org/ojs/forth/626/626-3.pdf
Language	English
Access Restriction	Open
Subject Keyword	Algorithm Conditional (computer programming) Discrete choice Probability Stationary process
Content Type	Text
Resource Type	Article

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