We examine innovative contexts like scientific research or technical R&D where agents must search across many potential projects of varying and uncertain returns. Is it better to possess incomplete but accurate data on the value of some projects, or might there be cases where it is better to...

We provide a comprehensive assessment of leading monetary policy frameworks away from and at the ELB. Inflation targeting, dual mandate, average inflation targeting under 4- and 10-period horizons, price level targeting, and nominal GDP level targeting are evaluated in a laboratory setting....

Team incentives are important in many compensation systems that pay workers according to the output of their team as well as to their own output, with team bonuses often depending on whether the team meets or exceeds specified thresholds. Yet little is known about how team members with different...

We experimentally study unanimity and majority voting rules in multilateral bargaining environments with stochastic future surplus. In these settings, reaching agreement when expected future surplus is sufficiently higher than the current surplus is inefficient. Theoretically, such...

We design a new experimental framework to study policy interventions to combat secular stagnations and liquidity traps in an overlapping-generations environment where participants form expectations and make real economic decisions. We observe that participants can learn to coordinate on high...

Under Liquid Democracy (LD), decisions are taken by referendum, but voters are allowed to delegate their votes to other voters. Theory shows that in common interest problems where experts are correctly identified, the outcome can be superior to simple majority voting. However, even when experts...

We analyze a coordination game with information-constrained players. The players' actions are based on a noisy compressed representation of the game's payoffs in a particular case, where the compressed representation is a latent state learned by a variational autoencoder (VAE). Our generalized...

We investigate the potential for Large Language Models (LLMs) to enhance scientific practice within experimentation by identifying key areas, directions, and implications. First, we discuss how these models can improve experimental design, including improving the elicitation wording, coding...

The experimental literature on repeated games has largely focused on settings where players discount the future identically. In applications, however, interactions often occur between players whose time preferences differ. We study experimentally the effects of discounting differentials in...