In this paper we analyse the problem of modelling individual transitions in the presence of an incomplete sampling scheme. This problem is particularly cumbersome when a continuous time-scale is used for the modelling and when the model incorporates unobserved heterogeneity. This problem arises,...

A transformed likelihood approach is suggested to estimate fixed effects dynamic panel data models. Conditions on the data generating process of the exogenous variables are given to get around the issue of ?incidental parameters?. The maximum likelihood (MLE) and minimum distance estimator (MDE)...

In this paper we carry out a broad simulation experiment where the finite sample behaviour of two parametric seasonal unit root tests for monthly data is studied. In concrete, we analyse the performance of both the Franses (1991) and Canova and Hansesn (1995) procedures. We point out, among...

The small sample performance of Granger causality tests under different model dimensions, degree of c cointegration, direction of causality, and system stability are presented. Two tests based on maximum likelihood estimation of error-correction models (LR and WALD) are compared to a Wald test...