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Dalia Ghanem. (2022) A James-Stein-type adjustment to bias correction in fixed effects panel models. Econometric Reviews 41:6, pages 633-651.
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Yujing Du, Hon Keung Tony Ng, Jun Wang & Wei Gao. (2022) On estimation of two-dimensional dynamic panel model with confounders. Communications in Statistics - Simulation and Computation 51:2, pages 505-517.
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Majid M. Al-Sadoon, Tong Li & M. Hashem Pesaran. (2017) Exponential class of dynamic binary choice panel data models with fixed effects. Econometric Reviews 36:6-9, pages 898-927.
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Blair Alexander & Robert Breunig. (2016) A Monte Carlo study of bias corrections for panel probit models. Journal of Statistical Computation and Simulation 86:1, pages 74-90.
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Articles from other publishers (13)
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Francesco Valentini, Claudia Pigini & Francesco Bartolucci. 2023. Trends and Challenges in Categorical Data Analysis. Trends and Challenges in Categorical Data Analysis
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Jun Wang, Wei Gao & Man‐Lai Tang. (2018) Estimation of treatment effects for heterogeneous matched‐pairs data with probit models. Scandinavian Journal of Statistics 46:2, pages 575-594.
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Claudia Di Caterina, Giuliana Cortese & Nicola Sartori. (2019) Monte Carlo modified profile likelihood in models for clustered data. Electronic Journal of Statistics 13:1.
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Alexander Chudik, M. Hashem Pesaran & Jui-Chung Yang. (2018) Half-panel jackknife fixed-effects estimation of linear panels with weakly exogenous regressors. Journal of Applied Econometrics 33:6, pages 816-836.
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Giuliana Cortese & Nicola Sartori. (2015) Integrated likelihoods in parametric survival models for highly clustered censored data. Lifetime Data Analysis 22:3, pages 382-404.
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Johannes S. Kunz, Kevin E. Staub & Rainer Winkelmann. (2017) Estimating Fixed Effects: Perfect Prediction and Bias in Binary Response Panel Models, with an Application to the Hospital Readmissions Reduction Program. SSRN Electronic Journal.
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