Scientific publications
2023Journal articleEnglish
Fisher Information Matrix for Two-way Random e Effects Model with Heteroscedasticity (opens in a new tab)
Authors
University of Yaoundé I
Université Félix Houphouët-Boigny
E. Kouassi
Scientific publications
E. Kouassi
Jean Marcelin Bosson Brou
Saralees Nadarajah
DOAJ (DOAJ: Directory of Open Access Journals)
Model specification and selection are important aspects of modeling exercises. In this context, the Fisher Information Matrix (FIM) plays an essential role. In this paper, we derive the Fisher Information Matrix (FIM) for the two way random effects panel data models, in general, as well as in some specic cases of heteroscedasticity. Some computational issues are then raised and discussed. In addition, some real data examples are reported and thoroughly discussed.