In this article I first describe the basic principles that parents employ in disciplining their children. The description is based on a survey of parents, the major results of which are that parental sanctions are premised on wrongdoing--not on the mere causation of harm; that parental sanctions...

Many states have recently changed their scope of practice laws and granted full practice authority to nurse practitioners, allowing them to practice without oversight from physicians. Physician groups have argued against this change, citing patient safety concerns. In this paper, we use a...

The primary causal requirement that must be met for a negligent party to be held liable for a harm is a demonstration that the harm would not have occurred if the party had not been negligent. Thus, for a speeding driver to be found liable for harm done in a car accident, it must be shown that...

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...

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,...

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...