Robust linear static panel data models using e-contamination
Badi H. Baltagia,
Georges Bresson,
Anoop Chaturvedi () and
Guy Lacroix
Cahiers de recherche from Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques
Abstract:
The paper develops a general Bayesian framework for robust linear static panel data models using e-contamination. A two-step approach is employed to derive the conditional type-II maximum likelihood (ML-II) posterior distribution of the coeffcients and individual effects. The ML-II posterior densities are weighted averages of the Bayes estimator under a base prior and the data-dependent empirical Bayes estimator. Two-stage and three stage hierarchy estimators are developed and their finite sample performance is investigated through a series of Monte Carlo experiments. These include standard random effects as well as Mundlak-type, Chamberlain-type and Hausman-Taylor-type models. The simulation results underscore the relatively good performance of the three-stage hierarchy estimator. Within a single theoretical framework, our Bayesian approach encompasses a variety of specifications while conventional methods require separate estimators for each case.
Keywords: e-contamination; hyper g-priors; type-II maximum likelihood posterior density; panel data; robust Bayesian estimator; three-stage hierarchy (search for similar items in EconPapers)
JEL-codes: C11 C23 C26 (search for similar items in EconPapers)
Date: 2017
New Economics Papers: this item is included in nep-ecm
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Citations: View citations in EconPapers (1)
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http://www.crrep.ca/sites/crrep.ca/files/fichier_publications/crrep-2017-06.pdf (application/pdf)
Related works:
Journal Article: Robust linear static panel data models using ε-contamination (2018)
Working Paper: Robust Linear Static Panel Data Models Using ε-Contamination (2017)
Working Paper: Robust linear static panel data models using ε-contamination (2015)
Working Paper: Robust Linear Static Panel Data Models Using ?-Contamination (2014)
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Persistent link: https://EconPapers.repec.org/RePEc:lvl:crrecr:1706
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