This paper considers factor estimation from heterogenous data, where some of the variables are noisy and only weakly informative for the factors. To identify the irrelevant variables, we search for zero rows in the loadings matrix of the factor model. To sharply separate these irrelevant...

Recent releases of X-13ARIMA-SEATS and JDemetra+ enable their users to choose between the non-parametric X-11 and the parametric ARIMA model-based approach to seasonal adjustment for any given time series without the necessity of switching between different software packages. To ease the...

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...

When studying particular subgroups of a population, like for instance lone parents, the econometrician typically has few observations at hand. In such a situation, it is vital to take advantage of any valid complementary information that may be available. In this paper we illustrate, for the...

Die Anwendung neuronaler Netzwerke ist ein extrem kontrovers diskutiertes Thema. In dem einen Extrem erhoffen die Verfechter neuronaler Netzwerke, daß diese als Produkt der 'künstlichen Intelligenz' in der Lage sind, Aufgaben zu lösen, die bislang als unlösbar oder nur schwer lösbar galten....