This paper studies how litigation and settlement behavior is affected by agents motivated by spiteful preferences under the American and the English fee-shifting rule. We conduct an experiment and find that litigation expenditures and settlement requests are higher for more spiteful...

In this paper we use the property that certainty equivalence, as implied by a first-order approximation to the solution of stochastic discrete-time models, breaks in its equivalent continuous-time version. We study the extent to which a first-order approximated solution built by perturbation...

When agents’ information is imperfect and dispersed, existing measures of macroeconomic uncertainty based on the forecast error variance have two distinct drivers: the variance of the economic shock and the variance of the information dispersion. The former driver increases uncertainty and...

This paper analyzes the stability and distribution of ambiguity attitudes using a broad population sample. Using high-powered incentives, we collected six waves of data on ambiguity attitudes about financial markets—our main application—and climate change. Estimating a structural stochastic...

This paper studies how punishment for past offenses affects future compliance behavior and isolates deterrence effects mediated by learning. Using administrative data from speed cameras that capture the full driving histories of more than a million cars over several years, we evaluate responses...

We analyze the design of legal principles and procedures for court decision-making in civil litigation. The objective is the provision of appropriate incentives for potential tort-feasors to exert care, when evidence about care is imperfect and may be distorted by the parties. Efficiency is...

The quasi-linear quadratic utility model is widely used in economics. The knowledge of its exact origin is less widespread. A first contribution of the paper is to explain the genesis of this model. Next, we review the main properties of the general model, mainly following the previous...