This paper considers identification and estimation of ceteris paribus effects of con- tinuous regressors in nonseparable panel models with time homogeneity. The effects of interest are derivatives of the average and quantile structural functions of the model. We find that these derivatives are...

The aim of my PhD projects is to investigate various problems in applied parametric and nonparametric estimation, and eventually in prediction. The main focus is on welfare analysis. For instance, in both nonparametric density estimation and regression, the so-called boundary effects, i.e. the...

Among many developments in statistical modelling in recent years, non- and semiparametric methods have proved to be a particularly powerful data-analytic tool. Nevertheless, there still exist justified doubts regarding there forecasting performance, for example in the context of financial time...

This paper considers identification and estimation of ceteris paribus effects of continuous regressors in nonseparable panel models with time homogeneity. The effects of interest are derivatives of the average and quantile structural functions of the model. We find that these derivatives are...