Nonstationary dynamic models with finite dependence

Published

Journal Article

Copyright © 2019 The Authors. The estimation of nonstationary 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.

Full Text

Duke Authors

Cited Authors

  • Arcidiacono, P; Miller, RA

Published Date

  • July 1, 2019

Published In

Volume / Issue

  • 10 / 3

Start / End Page

  • 853 - 890

Electronic International Standard Serial Number (EISSN)

  • 1759-7331

International Standard Serial Number (ISSN)

  • 1759-7323

Digital Object Identifier (DOI)

  • 10.3982/QE626

Citation Source

  • Scopus