We present a taxonomy of myopic stability concepts for hedonic games in terms of deviations, and discuss the status of the existence problems of stable coalition structures. In particular, we show that contractual strictly core stable coalition structures always exist, and provide sufficient...

Efficiency under contractual incompleteness often requires voluntary cooperation in situations where self-regarding incentives for contractual compliance are present as well. Here we provide a comprehensive experimental analysis based on the gift-exchange game of how explicit and implicit...

Efficiency under contractual incompleteness often requires voluntary cooperation in situations where self-regarding incentives for contractual compliance are present as well. Here we provide a comprehensive experimental analysis based on the gift-exchange game of how explicit and implicit...

In this dissertation, we explore the properties of correlation structure for spatio-temporalpoint processes and a quantitative spatial process. Spatio-temporal pointprocesses are often assumed to be separable; we propose a formal approach for testingwhether a particular data set is indeed...

Empirische und Theoretische Beiträge zum Thema SubstitutionDer thematische Schwerpunkt dieser Dissertation besteht in derökonometrischen Schätzung von Produktionsfunktionen (primaler Ansatz)beziehungsweise den dazu dualen Kostenfunktionen (dualer Ansatz) zum Zweckeder Bestimmung von...

We present a taxonomy of myopic stability concepts for hedonic games in terms of deviations, and discuss the status of the existence problems of stable coalition structures. In particular, we show that contractual strictly core stable coalition structures always exist, and provide sufficient...

In this paper, the assumption of monotonicity of Anscombe and Aumann (1963) is replaced by a weaker assumption of monotonicity with respect to first order stochastic dominance. I derive a representation result where ambiguous distributions of objective beliefs are first aggregated into...