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We introduce a hidden Markov model for dynamic network data where directed relations among a set of units are observed at different time occasions. The model can also be used with minor adjustments to deal with undirected networks. In the directional case, dyads referred to each pair of units...
Persistent link: https://www.econbiz.de/10015249430
Strict exogeneity of covariates other than the lagged dependent variable, and conditional on unobserved heterogeneity, is often required for consistent estimation of binary panel data models. This assumption is likely to be violated in practice because of feedback effects from the past of the...
Persistent link: https://www.econbiz.de/10015255182
We propose a multiple-step procedure to compute average partial effects (APEs) for fixed-effects panel logit models estimated by Conditional Maximum Likelihood (CML). As individual effects are eliminated by conditioning on suitable sufficient statistics, we propose evaluating the APEs at the ML...
Persistent link: https://www.econbiz.de/10015255806
We propose a Markov chain Monte Carlo Conditional Maximum Likelihood (MCMC-CML) estimator for two-way fixed-effects logit models for dyadic data. The proposed MCMC approach, based on a Metropolis algorithm, allows us to overcome the computational issues of evaluating the probability of the...
Persistent link: https://www.econbiz.de/10015255809
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We show that the h-index and the g-index, which are commonly used to mea- sure the research productivity of a scientist, may be seen as concentration indices. For these indices we also propose transformations that make them always ranging between two known limits, which correspond to the...
Persistent link: https://www.econbiz.de/10011107848
Evaluation of corrupt activities is incrementally based on administration of questionnaires to firms in business, and generally involves a large number of items. Data collected by questionnaires of this type can be analyzed by Latent Class (LC) models in order to classify firms into homogeneous...
Persistent link: https://www.econbiz.de/10011108158
We propose a test for state dependence in binary panel data under the dynamic logit model with individual covariates. For this aim, we rely on a quadratic exponential model in which the association between the response variables is accounted for in a different way with respect to more standard...
Persistent link: https://www.econbiz.de/10011109262