GDP and derived metrics (e.g., productivity) have been central to understanding economic progress and well-being. In principle, the change in consumer surplus (compensating expenditure) provides a superior, and more direct, measure of the change in well-being, especially for digital goods, but...

A vast theoretical literature in public finance has studied the question of the desirability of capital taxation. Distinct from questions of the optimality of taxing wealth is whether it is politically feasible. We provide, to our knowledge, the first investigation of individuals' preferences...

The rapid spread of the COVID-19 pandemic and subsequent countermeasures, such as school closures, the shift to working from home, and social distancing are disrupting economic activity around the world. As with other major economic shocks, there are winners and losers, leading to increased...

Using a vignette-based survey experiment on Amazon's Mechanical Turk, we measure how people's assessments of the fairness of race-based hiring decisions vary with the motivation and circumstances surrounding the discriminatory act and the races of the parties involved. Regardless of their...

We develop online survey experiments to analyze how information about inequality and taxes affects preferences for redistribution. Approximately 4,000 respondents were randomized into treatments providing interactive, customized information on U.S. income inequality, the link between top income...

We elicited over a million stated preference choices over 126 dimensions or "aspects" of well-being from a sample of 3,358 respondents on Amazon's Mechanical Turk (MTurk). Our surveys also collected self-reported well-being (SWB) questions about respondents' current levels of the aspects of...

Empirical researchers routinely encounter sample selection bias whereby 1) the regressor of interest is assumed to be exogenous, 2) the dependent variable is missing in a potentially non-random manner, 3) the dependent variable is characterized by an unbounded (or very large) support, and 4) it...

Measurement errors are often a large source of bias in survey data. Lack of knowledge of the determinants of such errors makes it difficult for data producers to reduce the extent of errors and for data users to assess the validity of analyses using the data. We study the determinants of...

In this chapter, we discuss field experiments in surveys that are conducted with the purpose of learning about expectation formation and the link between expectations and behavior. We begin by reviewing the rationale for conducting experiments within surveys, rather than just relying on...

Statistical agencies have a dual mandate to provide accurate data and protect the privacy and confidentiality of data subjects. These mandates are fundamentally at odds and therefore must be balanced: more accurate data reduces privacy, while privacy protections introduce error that reduces...