Research on Bayesian nonparametric methods has received a growing interest for the past twenty years, especially since the development of powerful simulation algorithms which makes the implementation of complex Bayesian methods possible. From that point it is necessary to understand from a...

We propose a nonparametric test that distinguishes 'depressions' and 'booms' from ordinary recessions and expansions. Depressions and booms are defined as coming from another underlying process than recessions and expansions. We find four depressions and booms in the NBER business cycle between...

Determining whether a data set contains one or more outliers is a challenge commonly faced in applied statistics. This paper introduces a distribution-free test for multiple outliers in data drawn from an unknown data generating process. Besides, a sequential algorithm is proposed in order to...

Using Archimedean copulas, we investigate the dependence structure existing between several series of financial assets log-returns that come from different markets. These series are considered as components of a portfolio and they are investigated on a long period including high shocks. To...

We study the effects of a conditional cash transfers program on school enrollment and performance in Mexico. We provide a theoretical framework for analyzing the dynamic educational process including the endogeneity and uncertainty of performance at school (passing grades) and the effect of a...

We study the implications of ownership and its induced incentives on firm performance in the ‘New Economy’. Instead of traditional performance we use firm survival on the stock market as the performance indicator. Using a unique data set of all 341 firms listed on the Neuer Markt, the German...