On the basis of a structural labor demand model employment effects of a minimum wage are estimated from a single cross-sectional wage distribution. The main contribution of the paper is to relax restrictive functional form assumptions of earlier papers by introducing more flexible...

In this paper employment effects of a sectoral minimum wage in the German construction sector are estimated from a single cross-sectional wage distribution using parametric and semi-parametric models. Parametric functional form assumptions seem too restrictive and lead to implausible results. We...

The present paper estimates and decomposes the employment effect of innovation by R&D intensity levels. Our micro-econometric analysis is based on a large international panel data set from the EU Industrial R&D Investment Scoreboard. Employing flexible semi-parametric methods the generalised...

The present paper estimates and decomposes the employment effect of innovation by R&D intensity levels. Our micro-econometric analysis is based on a large international panel data set from the EU Industrial R&D Investment Scoreboard. Employing flexible semi-parametric methods - the generalised...

We exploit data from the China Household Finance Survey to examine the impact of changes in the minimum wage on employment and investment decisions. We are able to non-parametrically identify the average treatment effect on the treated via exogenous variation in the minimum wage across...

This paper analyzes whether the two major labor market reforms implemented in Spain in the 1990s to reduce the share of temporary employment succeed in promoting flows into permanent employment. The 1994 reform severely restricted temporary contracts and the 1997 reform introduced a new...

Currently available asymptotic results in the literature suggest that matching estimators have higher variance than reweighting estimators. The extant literature comparing the finite sample properties of matching to specific reweighting estimators, however, has concluded that reweighting...

Generalized single-index models are natural extensions of linear models and circumvent the so-called curse of dimensionality. They are becoming increasingly popular in many scientific fields including biostatistics, medicine, economics and financial econometrics. Estimating and testing the model...