Small farms and fragmented plots are hallmarks of agriculture in less-developed countries, and there is evidence of high returns to land consolidation and reallocation. Complementarities, holdout and asymmetric information mean that private trade will be slow to reallocate land, and imply that...

Small farms and fragmented plots are hallmarks of agriculture in less-developed countries, and there is evidence of high returns to land consolidation and reallocation. Complementarities, holdout and asymmetric information mean that private trade will be slow to reallocate land, and imply that...

As predicted by loss aversion, numerous studies find that penalties elicit greater effort than bonuses, even when the underlying payoffs are identical. However, loss aversion also predicts that workers will demand higher wages to accept penalty contracts. In six experiments I recruited workers...

In traditional Reinforcement Learning (RL), agents learn to optimize actions in a dynamic context based on recursive estimation of expected values. We show that this form of machine learning fails when rewards (returns) are affected by tail risk, i.e., leptokurtosis. Here, we adapt a recent...

We present results from an experiment where participants have access to a set of robots (automated trading algorithms), which they may deploy, launch, halt and replace at will, while still trading manually. We hypothesize that mispricing would be reduced. Yet, we observe equally large and...

We study the Efficient Markets Hypothesis (EMH) in a setting where information heterogeneity emerges because securities valuation requires solving an NP-hard problem. We demonstrate experimentally that the quality of prices deteriorates substantially as computational complexity increases....

In traditional Reinforcement Learning (RL), agents learn to optimize actions in a dynamic context based on recursive estimation of expected values. We show that this form of machine learning fails when rewards (returns) are affected by tail risk, i.e., leptokurtosis. Here, we adapt a recent...

We study how markets help spread knowledge about solutions to the standard but computationally hard problem of maximizing value over indivisible goods subject to a budget constraint. In a first experiment, we f ind that complete markets are fairly ineffective. Still, participants use prices and...