It is often suggested that incentive schemes under moral hazard can be gamed by an agent with superior knowledge of the environment, and that deliberate lack of transparency about the incentive scheme can reduce gaming. We formally investigate these arguments. Ambiguous incentive schemes induce...

Using a high‐stakes field experiment conducted with a financial brokerage, we implement a novel design to separately identify two channels of social influence in financial decisions, both widely studied theoretically. When someone purchases an asset, his peers may also want to purchase it,...

We study two sources of delay in teams: freeriding and lack of communication. Partners contribute to the value of a common project, but have private information about the success of their own efforts. When the deadline is far away, unsuccessful partners freeride on each others' efforts. When the...

It is often suggested that incentive schemes under moral hazard can be gamed by an agent with superior knowledge of the environment, and that deliberate lack of transparency about the incentive scheme can reduce gaming. We formally investigate these arguments in a two-task moral hazard model in...

We analyze costly information acquisition and information revelation in groups that evaluate different decision options in a dynamic setting. Even when team members have perfectly aligned interests the group may inefficiently delay decisions due to either insufficient information acquisition...

Using a high-stakes field experiment conducted with a financial brokerage, we implement a novel design to separately identify two channels of social influence in financial decisions, both widely studied theoretically. When someone purchases an asset, his peers may also want to purchase it, both...

We study the accuracy and usefulness of automated (i.e., machine-generated) valuations for illiquid and heterogeneous real assets. We assemble a database of 1.1 million paintings auctioned between 2008 and 2015. We use a popular machine-learning technique - neural networks - to develop a pricing...

We construct a neural network algorithm that generates price predictions for art at auction, relying on both visual and non-visual object characteristics. We find that higher automated valuations relative to auction house pre-sale estimates are associated with substantially higher...