El objetivo de este trabajo es identificar los factores determinantes del nivel de satisfacción laboral de los asalariados en España, haciendo especial hincapié en las diferencias de género y de nacionalidad. Para ello, se estima un modelo de respuesta múltiple ordenada, utilizando los...

To test for group differences in growth trajectories in mixed (fixed and random effects) models, researchers frequently interpret the coefficient of Group-by-Time product terms. While this practice is straightforward in linear mixed models, it is less so in generalized linear mixed models. Using...

This paper discusses interpretations of different inequality decomposition rules when inequality is decomposed by income sources. It argues that authors of a recent article based their conclusions on misinterpreted decomposition results. It also argues that marginal effects, derived as...

During the new product launching, companies are facing to many difficulties. Product innovation presents in fact a high number of risks: on the one hand, it is characterized by high costs, while, on the other hand, requires a significant investment in time and can result in delays not budgeted....

We examine bias corrections which have been proposed for the Fixed Effects Panel Probit model with exogenous regressors, using several different data generating processes to evaluate the performance of the estimators in different situations. We find a best estimator across all cases for...

This paper addresses the estimation of a semiparametric sample selection index model where both the selection rule and the outcome variable are binary. Since the marginal effects are often of primary interest and are difficult to recover in a semiparametric setting, we focus on developing an...

A Bayesian sampling algorithm for parameter estimation in a discrete-response model is presented, where the dependent variables contain two layers of binary choices and one ordered response. The investigation is motivated by an empirical study using such a double-selection rule for three...

Elhorst  provides Matlab routines to estimate spatial panel data models at his website. This article extends these routines to include the bias correction procedure proposed by Lee and Yu if the spatial panel data model contains spatial and/or time-period fixed effects, the direct and...

Regression discontinuity models, where the probability of treatment jumps discretely when a running variable crosses a threshold, are commonly used to nonparametrically identify and estimate a local average treatment effect. We show that the derivative of this treatment effect with respect to...

We discuss regression models for ordered responses, such as ratings of bonds, schooling attainment, or measures of subjective well-being. Commonly used models in this context are the ordered logit and ordered probit regression models. They are based on an underlying latent model with single...