Model selection is important for longitudinal data analysis. But up to date little work has been done on variable selection for generalized linear mixed models (GLMM). In this paper we propose and study a class of variable selection methods. Full likelihood (FL) approach is proposed for...

This paper presents empirical evidence concerning the finite sample performance of conventional and generalized empirical likelihood-type estimators that utilize instruments in the context of linear structural models characterized by endogenous explanatory variables. There are suggestions in the...

In most developing countries, historically, the main strategy for improving the food sector has focused on increasing farm-level production. But in recent years, with the emphasis on value chain analysis, there has been much more focus on subsector studies, demand-driven approaches, and...

In a cross-border M&A framework, the question and measurement of financial synergy can be important in the analysis of the transaction and consideration needs to be given to whether the specific cross-border financial risks outweigh operational synergies. This paper develops a diffusion model to...