The vast majority of the efficiency and productivity measurement literature has been based on the static viewpoint of the firm. Few studies have developed the dynamic analog of static efficiency measurement, introducing the notions of long-run efficiency and inefficiency persistence. However,...

High levels of carbon emissions and rising income inequality are interconnected challenges for the global society. Commonly-applied linear regression models fail to unravel the complexity of potential bi-directional transmission channels. Specifically, consumption, energy sources and the...

Measuring vertical price transmission (VPT) has become a widespread means to evaluate the performance of food value chain. To do so, agricultural economists employ time series methods on spatially aggregated data of prices at a regional/ national level. The conclusions of these studies are...

For numerous applications it is of interest to provide full probabilistic forecasts, which are able to assign probabilities to each predicted outcome. Therefore, attention is shifting constantly from conditional mean models to probabilistic distributional models capturing location, scale, shape...

We aim at modeling the survival time of intensive care patients suffering from severe sepsis. The nature of the problem requires a flexible model that allows to extend the classical Cox-model via the inclusion of time-varying and nonparametric effects. These structured survival models are very...

This study examines the effect of European intervention politics in the European butter market in the context of market liberalization using the example of Germany. A heteroscedastic Tobit model is estimated using German butter market data from 1973-2010. There is evidence that price support has...