This paper evaluates the performance of a few newly proposed on-line forecast combination algorithms, and compares them with some of the existing ones including the simple average and that of Bates and Granger (1969). We derive asymptotic results for the new algorithms that justify certain...

This paper uses a unique micro panel dataset of Brazilian students to investigate the impact of working while in school on learning outcomes. The potential endogeneity is addressed through the use of difference-in-difference and instrumental variable estimators. A negative effect of working on...

This paper investigates the impact of working while in school on learning outcomes through the use of a unique micro panel dataset of students in the São Paulo municipal school system. The potential endogeneity of working decisions and learning outcomes is addressed through the use of a...

This paper uses a unique micro panel dataset of Brazilian students to investigate the impact of working while in school on learning outcomes. The potential endogeneity is addressed through the use of difference-in-difference and instrumental variable estimators. A negative effect of working on...

We identify characteristics that affect firms' ability to learn from their export activities. Our analysis is based on a panel of Argentinian firms spanning 1992-2001 and we employ Granger causality tests, propensity score matching techniques and GMM regressions. The characteristics we find to...

In this paper, I look at the possibility that sea pirates increase their performance over time. I consider three main determinants of performance as far as maritime piracy is concerned: The distance of the attacks which highly depends on the material and financial capacity of pirates, the...