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...

Understanding factors affecting the direction of innovation is a central aim of research in the economics of innovation. Progress on this topic has been inhibited by difficulties in measuring distance and movement in knowledge space. We describe a methodology that infers the mapping of the...

Remotely sensed measurements and other machine learning predictions are increasingly used in place of direct observations in empirical analyses. Errors in such measures may bias parameter estimation, but it remains unclear how large such biases are or how to correct for them. We leverage a new...

For decades, households' subjective expectations elicited via surveys have been considered meaningless because they often differ substantially from the forecasts of professionals and ex-post realizations. In sharp contrast, the literature we review shows household characteristics and the ways in...

Economics research has largely overlooked non-binary individuals. We aim to jump-start the literature by providing data on several economically-important beliefs and preferences. Among many results, non-binary individuals report more gender-based discrimination and express different career and...

We survey the recent literature in economics measuring what is on top of people's minds using open-ended questions. We first provide an overview of studies in political economy, macroeconomics, finance, labor economics, and behavioral economics that have employed such measurement. We next...

We investigate the potential welfare cost of relative rank considerations using a series of vignettes and lab-in-the-field experiments with over 2,000 individuals in Abidjan, Ivory Coast. We show that: (1) individuals judged to be of a lower rank are perceived as more likely to be sidelined from...

We study the interpretation of regressions with multiple treatments and flexible controls. Such regressions are often used to analyze stratified randomized control trials with multiple intervention arms, to estimate value-added (for, e.g., teachers) with observational data, and to leverage the...

We use four incentivized representative surveys to study the endowment effect for lotteries in 4,000 U.S. adults. We replicate the standard finding of an endowment effect--the divergence between Willingness to Accept (WTA) and Willingness to Pay (WTP), but document three new findings. First, we...