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This paper extends the work of Baltagi et al. (2018) to the popular dynamic panel data model. We investigate the robustness of Bayesian panel data models to possible misspecication of the prior distribution. The proposed robust Bayesian approach departs from the standard Bayesian framework in...
Persistent link: https://www.econbiz.de/10012269892
This paper extends the Baltagi et al. (2018, 2021) static and dynamic ?-contamination papers to dynamic space-time models. We investigate the robustness of Bayesian panel data models to possible misspecification of the prior distribution. The proposed robust Bayesian approach departs from the...
Persistent link: https://www.econbiz.de/10014296559
Persistent link: https://www.econbiz.de/10013194595
This paper extends the work of Baltagi et al. (2018) to the popular dynamic panel data model. We investigate the robustness of Bayesian panel data models to possible misspecication of the prior distribution. The proposed robust Bayesian approach departs from the standard Bayesian framework in...
Persistent link: https://www.econbiz.de/10012210757
Persistent link: https://www.econbiz.de/10012162338
Persistent link: https://www.econbiz.de/10012152834
This paper extends the Baltagi et al. (2018, 2021) static and dynamic ε-contamination papers to dynamic space-time models. We investigate the robustness of Bayesian panel data models to possible misspecification of the prior distribution. The proposed robust Bayesian approach departs from the...
Persistent link: https://www.econbiz.de/10013471473
Persistent link: https://www.econbiz.de/10014328993
Persistent link: https://www.econbiz.de/10013483248