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Model selection for panel data models with fixed effects: a simulation study

Model selection for panel data models with fixed effects: a simulation study
Model selection for panel data models with fixed effects: a simulation study
This study considers model selection criteria, such as the Akaike’s Information Criterion (AIC), the corrected Akaike’s Information Criterion (AIC C) and the Bayesian Information Criterion (BIC), for panel data models with fixed effects. Applying these information criteria to fixed effects panel models is not a trivial matter due to the incidental parameter problem that might adversely affect their practical performance, especially when it comes to short panel data. Monte Carlo experiments suggest that the information criteria are quite successful in selecting the true model. In particular, the AIC C and the AIC operate successfully unless a time dimension is extremely small.
1350-4851
Yum, Minchul
23e96e8e-0dbd-4b6a-b3d1-538ab7d008b4
Yum, Minchul
23e96e8e-0dbd-4b6a-b3d1-538ab7d008b4

Yum, Minchul (2022) Model selection for panel data models with fixed effects: a simulation study. Applied Economics Letters, 29 (19). (doi:10.1080/13504851.2021.1962505).

Record type: Article

Abstract

This study considers model selection criteria, such as the Akaike’s Information Criterion (AIC), the corrected Akaike’s Information Criterion (AIC C) and the Bayesian Information Criterion (BIC), for panel data models with fixed effects. Applying these information criteria to fixed effects panel models is not a trivial matter due to the incidental parameter problem that might adversely affect their practical performance, especially when it comes to short panel data. Monte Carlo experiments suggest that the information criteria are quite successful in selecting the true model. In particular, the AIC C and the AIC operate successfully unless a time dimension is extremely small.

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More information

Accepted/In Press date: 20 July 2021
e-pub ahead of print date: 23 August 2021
Published date: 11 November 2022

Identifiers

Local EPrints ID: 474056
URI: http://eprints.soton.ac.uk/id/eprint/474056
ISSN: 1350-4851
PURE UUID: f34d74de-85cd-4d95-a938-64eaadecfecc
ORCID for Minchul Yum: ORCID iD orcid.org/0000-0002-1272-9822

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Date deposited: 10 Feb 2023 17:32
Last modified: 17 Mar 2024 04:18

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Author: Minchul Yum ORCID iD

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