In this paper, we discuss learning behavior and the heterogeneity of subjects' ability to perform in real-effort tasks. Afterwards, we present a novel variant of Erkal et al.'s (2011) encryption real-effort task which aims to minimize learning behavior in repeated settings. In the task,...

We examine the impact of behavioral noise on equilibrium selection in a hawk-dove game with a model that linearly interpolates between the one- and two-population structures in an evolutionary context. Perturbed best response dynamics generates two hypotheses in addition to the bifurcation...

We study strategic interaction in an experimental social-preferences vacuum chamber. We mute social preferences by letting participants knowingly interact with computers. Our new design allows for indirect strategic interaction: there are several waves in which computer players inherit the...

Ziel dieser Arbeit ist es, Innovationen außerhalb von F&E zu beleuchten und zu einer breiteren und tieferen Wertschätzung von Lern- und Wissensschaffungsprozessen beizutragen, die für mitarbeiter- und individuumsgesteuerte Innovationen entscheidend sind. In mehreren Papern wird gezeigt, dass...

We study the role of norm violations and learning behavior in multi- and single-worker gift-exchange games and find that working with co-workers leads to a twofold effect. First, flexible wages yield moderately higher efforts than in the single-employee treatment. The data suggests that this is...

In this paper, we discuss learning behavior and the heterogeneity of subjects' ability to perform in real-effort tasks. Afterwards, we present a novel variant of Erkal et al.'s (2011) encryption real-effort task which aims to minimize learning behavior in repeated settings. In the task,...

In a misspecified social learning setting, agents are condescending if they perceive their peers as having private information that is of lower quality than it is in reality. Applying this to a standard sequential model, we show that outcomes improve when agents are mildly condescending. In...