Economic policies often involve dynamic interventions, where individuals receive repeated interventions over multiple periods. This dynamics makes past responses informative to predict future responses and ultimate outcomes depend on the history of interventions. Despite these phenomena,...

This study investigates how to use regression adjustment to reduce variance in experimental data. We show that the estimators recommended in the literature satisfy an orthogonality property with respect to the parameters of the adjustment. This observation greatly simplifies the derivation of...

In organizations, teams are ubiquitous. "Weakest Link" and "Best Shot" are incentive schemes that tie a group member's compensation to the output of their group's least and most productive member, respectively. In this paper, we test the impact of these incentive schemes by conducting two pilot...

This paper provides novel insights into the science of scaling by examining an educational mentoring program in Mexico. Our analysis encompasses two separate field experiments, and takes advantage of a unique opportunity to learn from the government's implementation of the program on a large...

We use a longitudinal dataset measuring beliefs and behaviors to study the dynamics of model - or narrative - adoption during the Covid-19 pandemic. We show that individuals switch beliefs about the effectiveness of preventive behaviors following changes in perceived risk. The adoption of...

We explore the mechanics of empathy. In a controlled immersive virtual reality experiment, we show that neutral information on unauthorized immigration magnifies the empathetic response of subjects when they witness the struggles of unauthorized migrants. We conjecture that perceiving others as...

We measure individual-level loss aversion using three incentivized, representative surveys of the U.S. population (combined N=3,000). We find that around 50% of the U.S. population is loss tolerant, with many participants accepting negative-expected-value gambles. This is counter to earlier...

We investigate the potential for Large Language Models (LLMs) to enhance scientific practice within experimentation by identifying key areas, directions, and implications. First, we discuss how these models can improve experimental design, including improving the elicitation wording, coding...

We analyze time use studies to describe how people allocate their time as they age, especially among paid work, unpaid work, leisure, and personal care. We emphasize differences in time allocation between older (i.e., those aged 65+) and younger people; between developed and developing countries;...

Good health is important for employment at older ages. However, little is known about how health-related functional abilities interact with occupational demands to shape work capacity. Using new data, we quantify individuals' functional abilities, combine that information with...