We investigate and compare the suitability of parametric and non-parametric stochastic regression methods for analysing production technologies and the optimal firm size. Our theoretical analysis shows that the most commonly used functional forms in empirical production analysis, Cobb-Douglas...

We investigate and compare the suitability of parametric and non-parametric stochastic regression methods for analysing production technologies and the optimal firm size. Our theoretical analysis shows that the most commonly used functional forms in empirical production analysis, Cobb-Douglas...

By using nonparametric and panel data econometrics, this paper reassesses the effect of both the current level of economic activity and of future expected demand on the dynamics of the price mark-up over marginal cost in US manufacturing industries from 1958 to 1996. Consistently with previous...

By using nonparametric and panel data econometrics, this paper re-assesses the effect of both the current level of economic activity and of future expected demand on the dynamics of the price mark-up over marginal cost in US manufacturing industries from 1958 to 1996. Consistently with previous...

This paper uses nonparametric techniques to study GDP convergence across German labor market regions and counties during the period 1992-2004. The main result is that regional convergence in unified Germany has been substantial. In the first years after German unification the distribution of GDP...

This dissertation introduces three novel approaches for the econometric evaluation of heterogeneous treatment effects. The proposed methods consider the effects of a binary treatment on different characteristics of the outcome distribution.Section 1 proposes an estimation method for various...