Imagine we have two different samples and are interested in doing semi- or nonparametric regression analysis in each of them, possibly on the same econometric model. In this article we consider the problem of testing whether a specific covariate has different impacts on the regression curve in...

Over the last four decades, several methods for selecting the smoothing parameter, generally called the bandwidth, have been introduced in kernel regression. They differ quite a bit, and although there already exist more selection methods than for any other regression smoother we can still see...

This article proposes a simple and fast approach to build simultaneous confi dence bands and perform specification tests for smooth curves in additive models. The method allows for handling of spatially heterogeneous functions and its derivatives as well as heteroscedasticity in the data. It is...

The Africa-Dummy has been identfi ed and different explanations for its appearance have been published. In this paper, the issue of the empirical identifcation of the Africa-Dummy is addressed. We introduce a fixed effects regression model to identify the Africa-Dummy in one regression step so...

We present an integration based procedure for predicting the distribution f of an indicator of interest in situations where, in addition to the sample data, one has access to covariates that are available for the entire population. The proposed method, based on similar ideas that have been used...

Summary The study focuses on testing the hypothesis that the subsidy system of the Common Agricultural Reform in 1992 (CAP’92) drove to changes in farm efficiency towards the thereby claimed objectives. With sequential applications of semiparametric methods we succeed to identify the impact of...

The relationship between executive pay and corporate financial performance continues to attract wide academic, media and policy attention. The very high salaries enjoyed by senior executives in corporations in the US are often contrasted with the relatively low pay received by executives in...

The relationship between executive pay and corporate financial performance con-tinues to attract wide academic, media and policy attention. The very high salariesenjoyed by senior executives in corporations primarily in the North American coun-tries are often contrasted with the relatively low...

In this paper, we apply machine learning to forecast the conditional variance of long-term stock returns measured in excess of different benchmarks, considering the short- and long-term interest rate, the earnings-by-price ratio, and the inflation rate. In particular, we apply in a two-step...

This note revisits the ideas of the so-called semiparametric methods that we consider to be very useful when applying machine learning in insurance. To this aim, we first recall the main essence of semiparametrics like the mixing of global and local estimation and the combining of explicit...