We propose a nonparametric method to test which characteristics provide independent information for the cross section of expected returns. We use the adaptive group LASSO to select characteristics and to estimate how they affect expected returns nonparametrically. Our method can handle a large...

This paper proposes new, simple, and more accurate statistical tests in a cointegrated system that allows for endogenous regressors and serially dependent errors. The approach involves first transforming the time series using some orthonormal basis functions in L2[0,1], which has energy...

Why do some economies grow faster than others? Do economies in the middle-income range face especially difficult challenges producing consistent growth? Using a transition matrix analysis on decade-level growth rates, we find that the data clearly reject the idea that middle-income economies...

Previous studies have shown that both height and weight are associated with wages. However, by focusing on interpreting the partial effects of either height or weight on wages while holding all else constant, some gaps in our understanding of the complex relationship between body size and wages...

Die Dissertation behandelt Heterogenität in Paneldatensätzen auf Firmenebene. Es wird aufgezeigt, dass eine Berücksichtigung von Heterogenität unerlässlich ist, um Produktivität und technische Effizienz in parametrischen Frontiermodellen unverzerrt messen zu können. Verschiedene gängige...

In this paper we explore the application of structured additive distributional regression for the analysis of conditional income distributions in Germany following the reunification. Using a bootstrapped Kolmogorov-Smirnov test we find that conditional personal income distributions can generally...

In this paper we explore the possibility of the application of GAMLSS regression techniques for the analysis of income distributions in Germany following the reunification. We find that conditional income distributions can generally be modelled using the three parameter Dagum distribution and...

Der Value at Risk ist die am stärksten verbreitete Kennzahl zur Bestimmung des Risikos bei Finanzinstituten. Für diese gibt es bezüglich Theorie, Simulation und empirischer Anwendung bereits ein breites Spektrum an Literatur. Im Rahmen dieser Arbeit werden verschiedene Methoden zur Schätzung...

We propose a simple model selection test for choosing among two parametric likelihoods which can be applied in the most general setting without any assumptions on the relation between the candidate models and the true distribution. That is, both, one or neither is allowed to be correctly...

In this paper a semiparametric stochastic metafrontier approach is used to obtain insight into firmlevel competitiveness in Europe. We differ from standard TFP studies at the firm level as we simultaneously allow for inefficiency, noise and do not impose a functional form on the input-output...

In this paper, we develop a revealed preference methodology that allows us to explore whether time inconsistencies in household choice are the product of individual preference nonstationarities or the result of individual heterogeneity and renegotiation within the collective unit. An empirical...