It has been reported that there is dramatic increase of female workers into manager level jobs during last few decades in the US labor market. Using Standard & Poor´s Compustat ExecuComp database over 14 years (1992 - 2005), this paper examines whether the glass ceiling in the executive market...

A growing literature on inference in difference-in-differences (DiD) designs with grouped errors has been pessimistic about obtaining hypothesis tests of the correct size, particularly with few groups. We provide Monte Carlo evidence for three points: (i) it is possible to obtain tests of the...

It has been reported that there is dramatic increase of female workers into manager level jobs during last few decades in the US labor market. Using Standard & Poor’s Compustat ExecuComp database over 14 years (1992 - 2005), this paper examines whether the glass ceiling in the executive market...

A growing literature on inference in difference-in-differences (DiD) designs with grouped errors has been pessimistic about obtaining hypothesis tests of the correct size, particularly with few groups. We provide Monte Carlo evidence for three points: (i) it is possible to obtain tests of the...

This study analyzes the employment effects of training in East Germany. We propose and apply an extension of the widely used conditional difference-in-differences evaluation method. Focusing on transition rates between nonemployment and employment we take into account that employment is a state...

Using four rounds (1999, 2002, 2005, 2008) of the Korean Labor and Income Panel Study (KLIPS), this article examines determinants of household income and consumption levels and inequalities. Unconditional as well as conditional stochastic dominance (SD) tests are performed by year, by household...

When considering multiple hypothesis tests simultaneously, standard statistical techniques will lead to over-rejection of null hypotheses unless the multiplicity of the testing framework is explicitly considered. In this paper we discuss the Romano-Wolf multiple hypothesis correction, and...

In this paper we compare two flexible estimators of technical efficiency in a cross-sectional setting: the nonparametric kernel SFA estimator of Fan, Li and Weersink (1996) to the nonparametric bias corrected DEA estimator of Kneip, Simar and Wilson (2008). We assess the finite sample...