We study the optimal design of information nudges for present-biased consumers who have to make sequential consumption decisions without exact prior knowledge of their long-term consequences. For arbitrary distributions of risk, there exists a consumer-optimal information nudge that is of cutoff...

In many trade environments - such as online markets - buyers fully learn their valuation for goods only after contracting. I characterize the buyer-optimal ex-ante information in such environments. Employing a classical sequential screening framework, I find that buyers prefer to remain...

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....

In this paper we show that informational and real frictions in CDS markets strongly affect CDS premia. We derive this main finding using a proprietary set of individual CDS transactions cleared by the Depository Trust & Clearing Corporation. We first show that CDS traders adjust the CDS premium...

We analyze the optimal allocation of authority in an organization whose members have conflicting preferences. One party has decision-relevant private information, and the party who obtains authority decides in a self-interested way. As a novel element in the literature on decision rights, we...

In markets with quality unobservable to buyers, third-party certification is often the only instrument to increase transparency. While both sellers and buyers have a demand for certification, its role differs fundamentally: sellers use it for signaling, buyers use it for inspection. Seller...