Threshold models have been widely used to analyze interdependent behavior, yet empirical research identifying people's thresholds is nonexistent. We introduce an incentivized method for eliciting thresholds and use it to study support for affirmative action in a large, stratified sample of the...

Measuring average differences in an outcome across racial or ethnic groups is a crucial first step for equity assessments, but researchers often lack access to data on individuals' races and ethnicities to calculate them. A common solution is to impute the missing race or ethnicity labels using...

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...

How do political leaders affect constituents' beliefs? Is it rhetoric, leader identity, or the interaction of the two that matters? Using a large-scale experiment we decompose the relative importance of partisan messages vs leader sources, in the context of beliefs about immigration....

While Artificial Intelligence (AI) algorithms have achieved performance levels comparable to human experts on various predictive tasks, human experts can still access valuable contextual information not yet incorporated into AI predictions. Humans assisted by AI predictions could outperform both...

This paper examines the extent to which changes in working-age shares associated with population aging might slow economic growth in upcoming years. We first analyze the economic effects of changing working-age shares in a standard empirical growth model using country panel data from 1950-2015....

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...

Can ideas mobilize people into collective action? We provide a positive answer to this question by studying how exposure to the Communist ideology shaped an individual's choice to join the Chinese Communist Party (CCP) during the party's formative stage. The individuals we focus on are cadets at...

The FDA is responsible for the approval of new drugs, biological products and medical devices in the United States. As part of the approval process, the FDA relies on advisory committees, which provide independent advice from outside experts. We combine a structural approach with newly collected...

We study the demand for government participation in China's venture capital and private equity market. We conduct a large-scale, non-deceptive field experiment in collaboration with the leading industry service provider, through which we survey both sides of the market: the capital investors and...