This paper explores to what extent secondary policy issues are infuenced by electoral incentives. We develop a two dimensional political agency model in which a politician decides on both a frontline policy issue and a secondary policy issue. The model predicts when the incumbent should...

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...

Policymakers are increasingly turning to insights gained from the experimental method as a means of informing public policies. Whether—and to what extent—insights from a research study scale to the level of the broader public is, in many situations, based on blind faith. This scale-up...

We provide twelve best practices and discuss how each practice can help researchers accurately, credibly, and ethically use Generative AI (GenAI) to enhance experimental research. We split the twelve practices into four areas. First, in the pre-treatment stage, we discuss how GenAI can aid in...

The traditional approach in experimental economics is to use a between-subject design: the analyst places each unit in treatment or control simultaneously and recovers treatment effects via differencing conditional expectations. Within-subject designs represent a significant departure from this...