Abstract
We propose a second-order correction for nonlinear fixed-effect panel models. The correction is made via the log-likelihood function. It removes the two leading terms of the bias of the log-likelihood that arises from estimating the fixed effects. Maximizing the corrected likelihood gives a second-order bias-corrected estimator, with bias OT−3, where T is the number of time periods. The corrected likelihood also gives second-order corrected test statistics. The correction applies to general nonlinear fixed-effect models with independent observations. The bias correction properties are confirmed in simulations for binary-choice models.
Original language | English |
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Pages (from-to) | 227-252 |
Number of pages | 26 |
Journal | Journal of Econometrics |
Volume | 220 |
Issue number | 2 |
DOIs | |
Publication status | Published - Feb 2021 |
Bibliographical note
JEL classification: C23Funding Information:
We thank Stéphane Bonhomme, Roger Moon, Cavit Pakel, participants of the 2017 Tinbergen Institute Conference, the 2017 International Panel Data Conference, and the 2018 International Association for Applied Econometrics Annual Conference, two referees, and the editors for helpful comments. Geert Dhaene acknowledges financial support from the Flemish Science Foundation [grant number G.0505.11 ].
Funding Information:
We thank St?phane Bonhomme, Roger Moon, Cavit Pakel, participants of the 2017 Tinbergen Institute Conference, the 2017 International Panel Data Conference, and the 2018 International Association for Applied Econometrics Annual Conference, two referees, and the editors for helpful comments. Geert Dhaene acknowledges financial support from the Flemish Science Foundation [grant number G.0505.11].
Publisher Copyright:
© 2020 Elsevier B.V.