We investigate the stability of individual behavior in a repeated public good experiment over time by reinviting subjects back to the lab up to four times in one week intervals. We exclude effects due to learning about others' behavior and reputation building by employing a non-learning and...

Repeated experiments with a time span of one week between repetitions are used in order to test two related hypotheses. The first is the moral self-licensing effect, which describes peo-ple’s tendency to allow themselves to act more selfishly on the back of previous prosocial or selfless...

To examine the effect of group size on the stability of prosocial behavior we used standard one-shot public good experiments with two and four subjects, which were conducted repeatedly three times at intervals of one week. Partner and stranger treatments were employed to control for group...

Macht ist ein zentraler Bestandteil sozialer Interaktion. Obgleich eine Vielzahl gebräuchlicher Anschauungen und Begriffsdefinitionen zum Thema Macht existiert, erfordert ein wissenschaftlicher Umgang mit dem Konzept der Macht deren quantitative Operationalisierung. Der vorliegende Beitrag...

Forschung und Entwicklung (F&E) ist die Basis von marktfähigen Innovationen und besitzt damit einen zentralen Stellenwert für das Wirtschaftswachstum. Um die F&E-Tätigkeit von Unternehmen zu steigern, entwickelt die Politik gezielte Fördermaßnahmen, die beispielsweise in strukturschwachen...

Many of real-world public-goods are characterized by a marginal per capita return (MPCR) close to zero and have to be provided by large groups. Up until now, there is almost no evidence on how large groups facing a low MPCR behave in controlled public-good laboratory experiments involving...

This paper studies the variance risk premium from a new perspective by disaggregating the total premium into upper and lower semivariance premia. To this end, we provide novel tools for computing conditional expectations using traded options as well as moment generating functions. Across a...

In this note, we propose a method for efficient simulation of paths of latent Markovian state processes in a Markov Chain Monte Carlo setting. Our method harnesses available parallel computing power by breaking the sequential nature of commonly encountered state simulation routines. We offer a...

The Single-Picker Routing Problem deals with the determination of sequences according to which items have to be picked in a distribution warehouse and the identification of the corresponding paths which have to be travelled by human operators (order pickers). The Single-Picker Routing Problem...

Corporate social responsibility (CSR) is a phenomenon of increasing interest. Today, it is practiced in most countries around the globe and studied in various fields of academia. However, the focus still lies on Western developed countries, their understanding, and implementation of CSR. This...