When to Request Evidence? (with E. Muñoz-Rodríguez) New version! (December 2025)
Appropriate decisions depend on information gathered beforehand, yet such information is often obtained through intermediaries with biased preferences. We study the problem faced by a decision-maker who can only access information through an agent with misaligned preferences. In a dynamic framework with exogenous decision timing, we ask how requests for verifiable information (evidence) should be scheduled and their implications for the quality of implemented choices. When the agent's incentives are ignored, evidence requests do not condition on previously reported information. However, such policies are susceptible to strategic manipulation by the agent. We show that, in these cases, optimal requests should be biased: additional evidence is more likely to be sought when previous reports favor the agent’s preferred outcome. The primary application is the design of optimal testing schedules for patients awaiting transplants.
Confidence and Organizations [Video] New version! (January 2026)
Miscalibrated beliefs are widely viewed as compromising the quality of employees' decisions. Why, then, might an organization prefer to hire an individual known to be overconfident? This paper develops a theory of organizational demand for employees' levels of confidence when private information interacts with conflicts of interest. I study a model in which an employee uses private information to make decisions on behalf of the organization and analyze the belief design problem, namely, how the organization would like the employee to interpret his observations. I show that organizations prefer employees whose actions reflect a constant expected conflict of interest across observations. A well-calibrated employee is optimal if and only if private information does not affect this conflict. When the conflict varies with information, organizations optimally select employees whose confidence distorts their responses to information. Overconfidence is optimal when the organization seeks stronger adjustments to information than a well-calibrated employee would provide.
The (Early) Winner Takes It All: The Matthew Effect in Creative Careers
The highly skewed distribution of output is a pervasive regularity across creative environments, including science, art, journalism, and entertainment. Moreover, output inequality within these domains tends to intensify over the course of creators’ careers. For instance, within a given cohort of scientists, inequality in publication output increases over the life cycle. This paper studies whether the consumption process of creative content can, by itself, generate such dynamic patterns of inequality. I show that when audiences instrumentally rely on authors’ reputations (endogenously determined by past output) to guide their consumption choices, dynamic competition among creators collapses into a winner-takes-all outcome. This mechanism gives rise to a Matthew effect, even in the absence of ex ante heterogeneity.
Robust Contracts under Social Preferences
A principal faces several moral hazard problems under multitasking, one with each of several agents. While these problems are independent, the principal is concerned that agents may also intrinsically care about their peers' payoffs. For example, agents may have status concerns and evaluate wages according to their ranking in the group. Alternatively, agents may be averse to ex-post inequality. The exact shape of the agents' preferences, however, is not fully known by the principal; she only knows that they belong to some specific class. This project explores the type of contracts that perform robustly well from the principal's perspective. Contracts that combine individual and group incentives can perform well by leveraging agents' choices across tasks to gather information about their true preferences.