Typically, laboratory experiments suffer from homogeneous subject pools and self-selection biases. The usefulness of survey data is limited by measurement error and by the questionability of their behavioral relevance. Here we present a method integrating interactive experiments and...

Trust is a concept that has attracted significant attention in economic theory and research within the last two decades: it has been applied in a number of contexts and has been investigated both as an explanatory and as a dependent variable. In this paper, we explore the questions of what...

We analyze the impact of changing employment patterns and pension reforms on the future level of public pensions across birth cohorts in Germany. The analysis is based on a rich dataset that combines household survey data from the German Socio-Economic Panel Study (SOEP) and process-produced...

We analyze the impact of changing employment patterns and pension reforms on the future level of public pensions across birth cohorts in Germany. The analysis is based on a rich dataset that combines household survey data from the German Socio-Economic Panel Study (SOEP) and process-produced...

Typically, laboratory experiments suffer from homogeneous subject pools and self-selection biases. The usefulness of survey data is limited by measurement error and by the questionability of their behavioral relevance. Here we present a method integrating interactive experiments and...

We analyze potential labor supply effects of a shift from the current German system of joint taxation of married couples to a system of limited real income splitting on the basis of an econometric household labor supply model embedded in a tax-benefit model. Our simulation results show...

This paper presents new evidence on the distribution of risk attitudes in the population, using a novel set of survey questions and a representative sample of roughly 22,000 individuals living in Germany. Using a question that asks about willingness to take risks on an 11-point scale, we find...