We study optimal experimentation by a monopolistic platform in a two-sided market. The platform provider is uncertain … optimal level. This interplay between learning and surplus extraction is crucial to the market outcome and its dynamics …

We report two information cascade game experiments that directly test the impact of altruism on observational learning … substantial public information which increases the earnings of participants. In Experiment 2, participants have better … opportunities to learn about the strategies played by observed which amplifies the impact of altruism on observational learning …

The paper investigates social-learning when the information structure is not commonly known. Individuals repeatedly … interact in social-learning settings with distinct information structures. In each round of interaction, they use their … behavior in the long-run if and only if individuals distinguish social-learning settings and receive rich feedback after each …

learning, and even idiosyncratic variation. Our paper cautions that the slider task will be underpowered for uncovering a …

In this study, we investigate behavioral constraints on pricing by using a novel laboratory experiment in which actual …

consumption options and show how optimal regulation evolves over time. In our base setting where social and private learning … learning incentives diverge, we show that it will be optimal to temporarily increase the tax rate beyond net marginal external … damages to induce optimal learning, before reducing the tax rate to the steady-state level. Alternatively, one needs to …

interaction mitigates or reinforces antagonism towards other groups, the micro-founded theory we develop predicts that a country … use for 223 countries, we compute measures of overall fractionalization and local learning, and investigate their relation … causal relation between local learning and public goods. Local mixing therefore mitigates the negative impact of a country …

neighbours' experiences. In contrast to the existing work on policy learning, we focus on learning in the presence of (fiscal …) externalities. We show that, because learning can exacerbate this externality, the value of learning can be negative and, thus …, learning may be too fast. Given that variance in tax policies enhances learning, this implies that, in the sequence of Markov …