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,...

The use of distributional weights in economic analysis is receiving increasing attention in both research and policy circles. This paper examines the extent to which distributional weights affect economic analysis of public good provision. We make two contributions. First, we present a model...

Many US states have set ambitious renewable portfolio standards (RPS) that require utilities to switch from fossil fuels toward renewables. RPS increases the renewables capacity, bond issuance, maturity, and yield spreads of investor-owned utilities compared to municipal producers that are...

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...

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...

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...

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...

Using data on U.S. state and federal taxes and transfers over a quarter century, we estimate a regression model that yields the marginal effect of any shift of market income share from one quintile to another on the entire post tax, post-transfer income distribution. We identify exogenous income...