We propose a sufficient statistic for designing AI information-disclosure and selective automation policies. The approach allows for endogenous and biased beliefs, and effort crowd-out, without using a structural model of human decision-making. We deploy and validate our approach in a...

This paper examines how central banks can strategically integrate artificial intelligence (AI) to enhance their operations. Using a dual-framework approach, we demonstrate how AI can transform both strategic decision-making and daily operations within central banks, taking the Federal Reserve...

In many economic settings, agents lack decision rights but provide input. Intra-household decision-making in contexts with restrictive gender norms is one important example; wives often lack final say over decisions but still give input. Their ability to communicate persuasively while providing...

We investigate how advisors' own health and survival assessments, and information about their advisees' health and survival probabilities, shape their recommendations regarding retirement spending and investment. Using experiments involving amateur and professional advisors, we show that...

The use of telemedicine has been on the rise. Although telemedicine has increased access to health care, little is known about how the medium changes providers' medical decision-making. To evaluate how telemedicine differs from in-person care, we compare the quality and cost of in-person clinic...

Physicians, acting in their role as experts, are often faced with situations where they must trade off personal and patient welfare. Physicians' incentives vary based on the organizational environment in which they practice. We use the publication of a major clinical trial, which found that a...

The purpose of this essay is to discuss two approaches to inference, and how "human capital" can provide a way to combine them. The first approach, ubiquitous in economics, is based upon the Rubin/Holland potential outcomes model and relies upon randomized treatment to measure the causal effect...

It takes a woman and a man to make a baby. This fact suggests that for a birth to take place, the parents should first agree on wanting a child. Using newly available data on fertility preferences and outcomes, we show that indeed, babies are likely to arrive only if both parents desire one, and...

Job testing technologies enable firms to rely less on human judgement when making hiring decisions. Placing more weight on test scores may improve hiring decisions by reducing the influence of human bias or mistakes but may also lead firms to forgo the potentially valuable private information of...

Defined contribution (DC) pensions are an increasingly important means of financing retirement consumption. Because individuals often have substantial discretion over how much is contributed to their DC pension, studying DC contribution choices provides general insights into the determinants of...