Situations where independent agents need to align their activities to achieve individually and socially beneficial outcomes are abundant, reaching from everyday situations like fixing a time for a meeting to global problems like climate change agreements. Often such situations can be described...

We designed four observational learning experiments to identify the key channels that, along with Bayes-rational inferences, drive herd behavior. In Experiment 1, unobserved, whose actions remain private, learn from the public actions made in turn by subjects endowed with private signals of...

We empirically assess whether hindsight bias has consequences on how citizens evaluate their political actors. Using an incentivized elicitation technique, we demonstrate that people systematically misremember their past policy preferences regarding how to best fight the Covid-19 pandemic. At...

We introduce the word illustration task (WIT), a novel experimental task to quantify performance in an idea generation context. Between treatments, we vary whether or not piece-rate (PR) incentives are implemented and the degree to which these incentives are aligned with the desirable outcome....

Explaining individual behavior in politics should rely on the same motivational assumptions as explaining behavior in the market: That’s what Political Economy, understood as the application of economics to the study of political processes, is all about. In its standard variant, those who...

We introduce DOSE - Dynamically Optimized Sequential Experimentation - to elicit preference parameters. DOSE starts with a model of preferences and a prior over the parameters of that model, then dynamically chooses a customized question sequence for each participant according to an...