We study persuasion effects in experimental ultimatum games and find that Proposers' payoffs significantly increase if, along with offers, they can send messages which Responders read before deciding. Higher payoffs are driven by both lower offers and higher acceptance rates.

This paper experimentally studies persuasion effects in ultimatum games and finds that Proposers' payoffs significantly increase if, along with offers, they can send messages which Responders read before their acceptance decision. Higher payoffs are due to higher acceptance rates as well as more...

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...