Using an experimental approach, this paper examines how scarcity of natural resources affects people's readiness to cooperate and to engage in antisocial behaviour. The experiments were carried out with pastoralists from southern Namibia whose livelihoods are highly dependent on grazing...

Frequent problems in applied research that prevent the application of the classical Poisson log-linear model for analyzing count data include overdispersion, an excess of zeros compared to the Poisson distribution, correlated responses, as well as complex predictor structures comprising...

Arad and Rubinstein (2012a) have designed a novel game to study level-k reasoning experimentally. Just like them, we find that the depth of reasoning is very limited and clearly different from equilibrium play. We show that such behavior is even robust to repetitions, hence there is, at best,...

Extensive evidence from laboratory experiments indicates that many individuals are willing to use costly punishment to enforce social norms, even in one-shot interactions. However, there appears to be little evidence in the literature of such behavior in the field. We study the propensity to...

The capabilities of the package exams for automatic generation of (statistical) exams in R are extended by adding support for learning management systems: As in earlier versions of the package exam generation is still based on separate Sweave files for each exercise - but rather than just...

As we have demonstrated in a recent laboratory experiment [see Sebald and Walzl (2012)], individuals tend to sanction others who subjectively evaluate their performance whenever this assessment falls short of the individual's self-evaluation even if their earnings are unaffected by the...

Structured additive regression (STAR) models provide a flexible framework for modeling possible nonlinear effects of covariates: They contain the well established frameworks of generalized linear models (GLM) and generalized additive models (GAM) as special cases but also allow a wider class of...

Quantile regression provides a convenient framework for analyzing the impact of covariates on the complete conditional distribution of a response variable instead of only the mean. While frequentist treatments of quantile regression are typically completely nonparametric, a Bayesian formulation...

Tournaments are widely used in organizations, explicitly or implicitly, to reward the best-performing employees, e.g., through promotion or bonuses, and to punish the worst-performing employees, e.g., through firing or unfavorable job assignments. We use a principal-agent model to compare the...

Obtaining reliable estimates of the volatility of interest rates and exchange rates is a necessary condition to evaluate issues related to monetary independence and fear of floating. In this paper we use methods which explicitly account for structural breaks in the volatility dynamics in order...