Behavioural economics attracted attention from environmental economists: it should help to understand why people do not respond to environmental policy measures, based on neoclassical assumptions, as predicted by theory. Moreover, understanding motives and driving forces behind pro-social,...

In the last decades, there has been a large volume of research showing that emotions do have relevant effects on decision-making. We contribute to this literature by experimentally investigating the impact of four specific emotional states - joviality, sadness, fear, and anger - on risk...

In our experiment, a dictator game variant, the reported outcome of a die roll determines the endowment (low/high) in a subsequent dictator game. In one treatment the experimenter is present and no cheating is possible, while in another subjects can enter the result of the roll themselves. Moral...

Previous studies have shown that other-regarding concerns are weakened under risky situations. Daily experience also suggests that people care more about an identifiable than about an unidentifiable third person. We report on an experiment designed to explore whether rendering the other...

Policy makers constantly face optimal control problems: what controls allow to achieve certain targets in, e.g., GDP growth or inflation? Conventionally this is done by applying certain linear-quadratic optimization algorithms to dynamic econometric models. Several algorithms extend this...

Similar to Kübler et al. (2008, GEB 64, p. 219-236), we compare sorting in games with asymmetric incomplete information theoretically and experimentally. Rather than distinguishing two very different sequential games, we use the same game format and capture the structural difference of...

For games of simultaneous action selection and network formation, game-theoretic behavior and experimental observations are not in line: While theory typically predicts inefficient outcomes for (anti-)coordination games, experiments show that subjects tend to play efficient (non Nash) strategy...

Meta-regression models are increasingly utilized to integrate empirical results across studies while controlling for the potential threats of data-mining and publication bias. We propose extended meta-regression models and evaluate their performance in identifying genuine em- pirical effects by...

We perform a comparative analysis of five incentivized tasks used to elicit risk preferences. Theoretically, we compare the elicitation methods in terms of completeness of the range of the estimates as well as their precision, the likelihood of triggering loss aversion, and problems arising when...

This paper examines the consequences of introducing a normally distributed effect into a system where the dependent variable is ordered and the explanatory variable is ordered and endogenous. Using simulation techniques we show that a naïve bivariate ordered probit estimator which fails to take...