In this paper we present the results from a "corruption game" (a dictator game modified so that the second player can accept a side payment that reduces the overall size of the pie). Dictators (silently) treated to have the possibility of taking a larger proportion of the recipient's tokens,...

Why do low-income individuals often oppose redistribution? We hypothesize that an aversion to being in "last place" undercuts support for redistribution, with low-income individuals punishing those slightly below themselves to keep someone "beneath" them. In laboratory experiments, we find...

Social networks and social interactions affect individual and social norms. We develop a direct test of this using Dutch survey data on how respondents evaluate work disability of hypothetical people with some work related health problem (vignettes). We analyze how the thresholds respondents use...

Evidence from social psychology suggests that agents process information about their own ability in a biased manner. This evidence has motivated exciting research in behavioral economics, but has also garnered critics who point out that it is potentially consistent with standard Bayesian...

A full understanding of how gasoline prices affect consumer behavior frequently requires information on how consumers forecast future gasoline prices. We provide the first evidence on the nature of these forecasts by analyzing two decades of data on gasoline price expectations from the Michigan...

Many studies find that presentation of balanced information, offering competing positions, can promote polarization and thus increase preexisting social divisions. We offer two explanations for this apparently puzzling phenomenon. The first involves what we call asymmetric Bayesianism: the same...

Congestion plays a central role in urban and transportation economics. Existing estimates of congestion costs rely on stated or revealed preferences studies. We explore a complementary measure of congestion costs based on self-reported happiness. Exploiting quasi-random variation in daily...