Loan guarantees are arguably the most widely used policy intervention in credit markets, especially for consumers. This may be natural, as they have several features that, a priori, suggest that they might be particularly effective in improving allocations. However, despite this, little is...

Over the past three decades six striking features of aggregates in the unsecured credit market have been documented: (1) rising personal bankruptcy rates, (2) rising dispersion in unsecured interest rates across borrowing households, (3) the emergence of a discount for borrowers with good credit...

I study a problem of repeated moral hazard in which the effect of effort is persistent over time: each period's outcome distribution is a function of a geometrically distributed lag of past efforts. I show that when the utility of the agent is linear in effort, a simple rearrangement of terms in...

We study a multiperiod principal-agent problem with moral hazard in which effort is persistent: the agent is required to exert effort only in the initial period of the contract, and this effort determines the conditional distribution of output in the following periods. We provide a...

We study optimal incentives in a principal-agent problem in which the agent's outside option is determined endogenously in a competitive labor market. In equilibrium, strong performance increases the agent's market value. When this value becomes sufficiently high, the threat of the agent's...

In this paper, we show that whenever the agent's outside option is nonzero, the optimal contract in the continuous-time principal-agent model of Sannikov (2008) is reflective at the lower bound. This means the agent is never terminated or retired after poor performance. Instead, the agent is...

I study firm characteristics that justify the use of options or refresher grants in the optimal compensation packages for CEOs in the presence of moral hazard. I model explicitly the determination of stock prices as a function of the output realizations of the firm: Symmetric learning by all...