Measurement errors are often a large source of bias in survey data. Lack of knowledge of the determinants of such … respondent's degree of cooperation with the survey overall. We provide evidence on how survey design choices affect reporting … errors. Our findings help survey users to gauge the reliability of their data and to devise estimation strategies that can …

We evaluate how nonresponse affects conclusions drawn from survey data and consider how researchers can reliably test … and correct for nonresponse bias. To do so, we examine a survey on labor market conditions during the COVID-19 pandemic … that used randomly assigned financial incentives to encourage participation. We link the survey data to administrative data …

We use survey data on an opt-in panel of around 2,500 US small businesses to assess the impact of COVID-19. We find a …

data. We ask survey respondents what they had in mind regarding (i)-(iii) when answering commonly used--life satisfaction …

education) measured in the survey or on spatial estimates (most often for zip codes) from the American Community Survey. We …

We design and field an innovative survey of unemployment insurance (UI) recipients that yields new insights about wage …

reporting of polling error has focused solely on sampling error, represented by the margin of error of a poll. Survey … statisticians have long recommended measurement of the total survey error of a sample estimate by its mean square error (MSE), which …

billionaires' lives and careers? To address these questions, we conducted a survey experiment with a sample of 9,013 Americans. We …

.S. survey of generative AI adoption at work and at home. In August 2024, 39 percent of the U.S. population age 18-64 used …