In this paper we analyze the factors that influence transitions into self-employment in Spain using a discrete time duration model, and, given the evidence of lower earnings among self-employees, we further explain the earnings differential between employees and self-employees using a...

A new version of the RE–EM regression tree method for longitudinal and clustered data is presented. The RE–EM tree is a methodology that combines the structure of mixed effects models for longitudinal and clustered data with the flexibility of tree-based estimation methods. The RE–EM tree...

Recent literature on panel data emphasizes the importance of accounting for time-varying unobservable individual effects, which may stem from either omitted individual characteristics or macro-level shocks that affect each individual unit differently. In this paper, we propose a simple...

This paper revisits the competition-innovation relationship using an unbalanced panel of enterprise data stemming from four waves of the Luxembourgish innovation survey for the period 2002-2010. We estimate by full-information maximum likelihood a nonlinear dynamic simultaneous-equations model...

Several approaches for functional canonical correlation analysis have been developed to measure the association between paired functional data. However, the existing methods in the literature have been developed for dense and balanced functional data, and they cannot be directly applicable to...

The childhood obesity epidemic continues to be a serious concern in the U.S., disproportionately affecting low socioeconomic and minority groups. Because many interventions are based in schools, both individual and school factors contributing to obesity were examined in this study. Employing...