Publications scientifiques
2023Article de revueanglais
Fisher Information Matrix for Two-way Random e Effects Model with Heteroscedasticity (ouvre dans un nouvel onglet)
Auteurs
Université de Yaoundé I
Université Félix Houphouët-Boigny
E. Kouassi
Publications scientifiques
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.