Gegenstand der Arbeit ist die Qualität von Berufsakademien aus Arbeitgebersicht. Es erfolgt zunächste eine Aufarbeitung der theoretischen Grundlagen für Dienstleistungsqualität, insbesondere aus der Perspektive von Bildungsinstitutionen, insbesondere von Berufsakademien. Anschließend...

We examine empirically the effect of natural resource abundance on economic growth. We find that natural resources have a negative impact on growth when considered in isolation, but a positive impact on growth when including in the analysis other variables such as corruption, investments,...

This article analyses dealer satisfaction data in the agricultural technology market in Germany. The dealers could rate their suppliers in the ?overall satisfaction? and in 38 questions which can be summarized in 8 dimensions. An ordinal regression model which is also known as the proportional...

Using data from the 2003 Family Income and Expenditure Survey and 2005 Community-based Monitoring System for a city, Multivariate Adaptive Regression Splines (MARS) is used in identifying household poverty correlates in the Philippines. Models produced by MARS are more parsimonious yet contain...

This article shows how to construct a likelihood for a general class of censoring problems. This likelihood is proven to be valid, i.e. its maximiser is consistent and the respective root-n estimator is asymptotically efficient and normally distributed under regularity conditions. The method...

Rating variables indicate the extent to which a quality is present, or absent, in a unit of observation. In this paper, we discuss a class of non-linear regression models for rating dependent variables and their estimation by parametric and semiparametric methods. An application to life...

Die mit dem demographischen Wandel verbundene Verschiebung des Verhältnisses zwischen Erwerbstätigen und Rentnern wird in der Öffentlichkeit häufi g mit einer zunehmenden "Alterslast" gleichgesetzt. Mit diesem Begriff werden jedoch die vielfältigen Leistungen, die ältere Menschen zur...

We test for mean reversion in real exchange rates using a recently developed unit root test for non-normal processes based on quantile autoregression inference in semi-parametric and non-parametric settings. The quantile regression approach allows us to directly capture the impact of different...

This paper considers Bayesian regression with normal and doubleexponential priors as forecasting methods based on large panels of time series. We show that, empirically, these forecasts are highly correlated with principal component forecasts and that they perform equally well for a wide range...

Using the Consensus Economics dataset with individual expert forecasts from G7 countries we investigate determinants of disagreement (crosssectional dispersion of forecasts) about six key economic indicators. Disagreement about real variables (GDP, consumption, investment and unemployment) has a...