This paper reports the results of an experimental investigation which allows a deeper insight into the nature of social preferences amongst organized criminals and how these differ from "ordinary" criminals on the one hand and from the non‐criminal population in the same geographical area on...

We investigate one possible explanation for observed rates of corrupt behavior namely that individual decision makers who frequently engage in illegal actions may underestimate the overall probability of being caught. This might in particular be true for petty corruption where small amounts of...

In this paper, we examine labor market favoritism in a unique laboratory experiment design that can shed light on both the private benefits and spillover costs of employer favoritism (or discrimination). Group identity is induced on subjects such that each laboratory "society"consists of eight...

In this paper, we investigate whether business cycles can imply sizable effects on average unemployment. First, using a reduced-form model of the labor market, we show that job finding rate fluctuations generate intrinsically a non-linear effect on unemployment: positive shocks reduce...

We investigate corruption as a social dilemma by means of a bribery game in which a risk of collective sanction of the public officials is introduced when the number of officials accepting a bribe from firms reaches a certain threshold. We show that, despite the social risk, the pursuit of...

We conduct experimental games with police applicants in Germany to investigate whether intrinsically motivated agents self-select into public service. Our focus is on trustworthiness and the willingness to enforce norms as key dimensions of intrinsic motivation in the police context. We find...

Why do farm households inefficiently allocate resources across the plots they cultivate? We explore how these production inefficiencies relate to consumption decisions and information sharing within the household. In a lab-in-the-field experiment, male producers allocate too few inputs to their...