We propose a specification test for a wide range of parametric models for the conditional distribution function of an outcome variable given a vector of covariates. The test is based on the Cramer-von Mises distance between an unrestricted estimate of the joint distribution function of the data,...

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...

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...

This paper offers some new directions in the analysis of nonparamertric models with exogenous treatment assignment. The nonparametric approach opens the door to the examination of potentially different distributed outcomes. When combined with cross-validation, it also identifies potentially...

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...