functions for the panel probit model. The analysis is motivated by the complexity of maximum likelihood estimation and the … is unnecessary. In this note, we reconsider maximum likelihood based estimation of their panel probit model then examine … some extensions which can exploit the heterogeneity contained in their panel data set. Empirical results are obtained using …

We develop a panel intensity model, with a time varying latent factor, which captures the influence of unobserved time … & Hautsch (2006) to panel duration data. We show how to estimate the model parameters by a simulated maximum likelihood … behavioral biases and discuss implications for portfolio theory. -- Trading Activity Datasets ; Panel Intensity Models ; Latent …

finite mixture panel model and endogenous clustering to examine cross-country differences and similarities in the effects of … growth determinants. Applying this approach to an annual unbalanced panel of 59 countries in Asia, Latin and Middle America …

other companies. Therefore, this study estimates a labor demand model with German establishment panel data. Moreover, a … Heckman correction is introduced to the regressions to avoid selectivity. The results of random effects and fractional panel … Eigentümerstruktur hervorgerufen wird. Verschiedene Panelschätzer (Random Effects, Fractional Panel Probit) bestätigen zunächst die …

This paper uses multivariate dynamic panel analysis to examine the response of international financial flows to natural …

We propose a dynamic clustering model for studying time-varying group structures in multivariate panel data. The model …