Abstract
We examine bias corrections which have been proposed for the fixed effects panel probit model with exogenous regressors, using several different data generating processes to evaluate the performance of the estimators in different situations. We find a best estimator across all cases for coefficient estimates, but when the marginal effects are the quantity of interest no analytical correction is able to outperform the uncorrected maximum-likelihood estimator.
Original language | English |
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Pages (from-to) | 74-90 |
Number of pages | 17 |
Journal | Journal of Statistical Computation and Simulation |
Volume | 86 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2 Jan 2016 |