In vormals aufstrebenden Branchen wie z. B. der Solarindustrie kommt es plötzlich zu einem massiven Austritt selbst großer Marktteilnehmer. Warum? Dieser Artikel zeigt, wie mit mikroökonomischen Überlegungen argumentiert werden kann, um die Anzahl an Unternehmen in einem Markt zu bestimmen....

We run out-of-sample forecasts for the inflation rate of 15 euro-zone countries using a NAIRU Phillips curve and a naïve reference model. Comparisons show that the naïve model returns better forecasts in almost all cases. We provide evidence that the Phillips curves' goodness of fit is rather...

Czarnitzki and Stadtmann (2005) measure the interdependence of demand for investment advice (approximated by sales of investor magazines) and stock prices. They find strong evidence that confirms the presence of the disposition effect, i.e. the empirical observation that investors sell winners...

This article presents a local entropy based image reconstruction algorithm that performs quite well in cases where there is distortion in an image. If the wanted image information is still available but distributed over two or more distinct images, the algorithm can collect the required...

We investigate the importance of taking the spatial interaction of turbines inside a wind park into account. This article provides two tests that check for wake effects and thus, take spatial interdependence into account. Those effects are suspected to have a negative influence on wind power...

We complement a former study by Jørgensen, Moritzen and Stadtmann (2012) and estimate a reversed news model for the Danish publicly listed football club Brøndby. In addition to match outcome (as in Jørgensen et al.), news related to corporate governance and the financial status are also...

We provide a wind power forecasting methodology that exploits many of the actual data's statistical features, in particular both-sided censoring. While other tools ignore many of the important stylized facts or provide forecasts for short-term horizons only, our approach focuses on medium-term...

The Wind Power Prediction Tool (WPPT) has successfully been used for accurate wind power forecasts in the short to medium term scenario (up to 12 hours ahead). Since its development about a decade ago, a lot of additional stochastic modeling has been applied to the interdependency of wind power...

We estimate Okun coefficients for five different age cohorts for several Eurozone countries. We find a stable pattern for all countries: The relationship between business-cycle fluctuations and the unemployment rate is the strongest for the youngest cohort and gets smaller for the elderly cohorts.

The paper investigates Scandinavian countries and its respective male and female youth unemployment rates. Okun's law is used to estimate age-cohort and gender specific Okun coefficients to make inference on the business-cycle dependence of young people across Scandinavian countries.