This work exploits the natural experiment provided by the unexpected disintegration of socialist East Germany to study the impact of the mass immigration of East Germans on housing rents in West German metropolitan areas. Using a spatial correlation approach, annual district-level migration data...

Dieses Buch befasst sich mit Einflussfaktoren, insbesondere mit dem Einkommen, als bisher kaum erforschte Determinante des individuellen Nachhaltigkeitsverhaltens. Die Autorin zeigt, dass das Einkommen als Indikator der Armut einen Einfluss auf das individuelle Nachhaltigkeitsverhalten hat....

Lukas Heim evaluates the performance of a price-level targeting rule compared to that of a standard inflation targeting rule. The comparison is based on a medium-scale DSGE model which has been estimated based on state-of-the-art Bayesian methods. The model for the Swiss economy is an expanded...

The extensive monetary policy of central banks during the Great Recession has re-newed the interest in the relation between (possibly) non-neutral money and wealth and income inequality. In this work, a dynamic general equilibrium model approach is used to study the effects of an inflation rate...

Objective and relevance of this study for entry mode research in Russia -- Application and review of institutional theory, transaction cost theory and entry mode research -- Data and research methodology based on the BEEPS project und Bureau van Dijk data -- Contributions, methodological...

In this book Simona Roccioletti reviews several valuable studies about risk measures and their properties; in particular she studies the new (and heavily discussed) property of "Elicitability" of a risk measure. More important, she investigates the issue related to the backtesting of Expected...

The scope of this study is to investigate the capability of AI methods to accurately detect and predict credit risks based on retail borrowers' features. The comparison of logistic regression, decision tree, and random forest showed that machine learning methods are able to predict credit...