Thurow?s job-competition model implies that overeducation is contingent upon the differing skill endowments of employees. As yet, only rudimentary evidence has been furnished to confirm this relationship. In the present paper, we test the theory in a more sophisticated manner, by means of a more...

This paper proposes a quantile regression estimator for a panel data model with interactive effects potentially correlated with the independent variables. We provide conditions under which the slope parameter estimator is asymptotically Gaussian. Monte Carlo studies are carried out to...

This paper proposes a quantile regression estimator for a panel data model with interactive effects potentially correlated with the independent variables. We provide conditions under which the slope parameter estimator is asymptotically Gaussian. Monte Carlo studies are carried out to...

This paper addresses the question to which extent the complementarity between education and training can be attributed to differences in observable characteristics, i.e. to individual, job and firm specific characteristics. The novelty of this paper is to analyze previously unconsidered...

Using data from a randomized experiment and fixed effect quantile regression (FEQR), we look at the effects of having a TFA teacher on test scores across the entire achievement distribution of primary school students in disadvantaged neighborhoods. While we find that TFA teachers neither help...

This paper investigates how the precision and stability of a teacher's value-added estimate relates to the characteristics of the teacher's students. Using a large administrative data set and a variety of teacher value-added estimators, it finds that the stability over time of teacher...

We estimate the effect of school size on students' long-term outcomes such as high school completion, being out of the labor market, and earnings at the age of 30. We use rich register data on the entire population of Danish children attending grade 9 in the period 1986-2004. This allows us to...