panel data models where the observables are affected by common shocks, modelled through unobservable factors, are studied … the panel TSLS and LIML estimators, as the cross section dimension tends to infinity, is the lack of correlation between … shocks. If this condition fails, both estimators have degenerate distributions. When the panel TSLS and LIML estimators are …

predictions. The present contribution applies the constrained panel PPML estimator to reconsider the trade creation and trade …

A system of regression equations (SURE) for analyzing panel data with random heterogeneity in intercepts and … coefficients, and unbalanced panel data is considered. A Maximum Likelihood (ML) procedure for joint estimation of all parameters …' of the proposed algorithm for modified ML estimation is illustrated by using panel data for output, inputs and costs for …

This paper proposes and implements a tractable approach to detect group structure in panel data. The mechanism works by … means of a panel structure model, which assumes that individuals form a number of homogeneous groups in a heterogeneous …

the individual-specific and the general error terms, as well as for unbalanced panel. On the grounds of its robustness to …