Actors in various settings have been increasingly relying on algorithmic tools to support their decision-making. Much of the public debate concerning algorithms - especially the associated regulation of new technologies - rests on the assumption that humans can assess the quality of algorithms....

We consider a dynamic screening model where the agent may go bankrupt due to, for example, cash constraints. We model bankruptcy as a verifiable event that occurs whenever the agent makes a per period loss. This leads to less stringent truth-telling constraints than those considered in the...

This paper analyzes the optimal contract for a consumer to procure a credence good from an expert when (i) the expert might misrepresent his private information about the consumer’s need, (ii) the expert might not choose the requested service since his choice of treatment is non-observable,...

Interactions between players with private information and opposed interests are often prone to bad advice and inefficient outcomes, e.g. markets for financial or health care services. In a deception game we investigate experimentally which factors could improve advice quality. Besides advisor...