A Practitioner's Guide to Bayesian Estimation of Discrete Choice Dynamic Programming Models
نویسندگان
چکیده
منابع مشابه
A Practitioner’s Guide to Bayesian Estimation of Discrete Choice Dynamic Programming Models∗
This paper provides a step-by-step guide to estimating discrete choice dynamic programming (DDP) models using the Bayesian Dynamic Programming algorithm developed in Imai, Jain and Ching (2008) (IJC). The IJC method combines the DDP solution algorithm with the Bayesian Markov Chain Monte Carlo algorithm into a single algorithm, which solves the DDP model and estimates its structural parameters ...
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ژورنال
عنوان ژورنال: SSRN Electronic Journal
سال: 2011
ISSN: 1556-5068
DOI: 10.2139/ssrn.1398444