Econometrica

Journal Of The Econometric Society

An International Society for the Advancement of Economic
Theory in its Relation to Statistics and Mathematics

Edited by: Guido W. Imbens • Print ISSN: 0012-9682 • Online ISSN: 1468-0262

Econometrica: Jul, 2022, Volume 90, Issue 4

Maximum Likelihood Estimation in Markov Regime-Switching Models with Covariate-Dependent Transition Probabilities

https://doi.org/10.3982/ECTA17249
p. 1681-1710

Demian Pouzo, Zacharias Psaradakis, Martin Sola

This paper considers maximum likelihood (ML) estimation in a large class of models with hidden Markov regimes. We investigate consistency of the ML estimator and local asymptotic normality for the models under general conditions, which allow for autoregressive dynamics in the observable process, Markov regime sequences with covariate‐dependent transition matrices, and possible model misspecification. A Monte Carlo study examines the finite‐sample properties of the ML estimator in correctly specified and misspecified models. An empirical application is also discussed.


Log In To View Full Content

Supplemental Material

Supplement to "Maximum Likelihood Estimation in Markov Regime-Switching Models with Covariate-Dependent Transition Probabilities"

Demian Pouzo, Zacharias Psaradakis, and Martin Sola

This zip file contains the replication files for the manuscript.

Supplement to "Maximum Likelihood Estimation in Markov Regime-Switching Models with Covariate-Dependent Transition Probabilities"

Demian Pouzo, Zacharias Psaradakis, and Martin Sola

This online appendix contains material not found within the manuscript.

Journal News

View