Cited by 18Survey Methodology and NonresponseSurvey Sampling and Estimation TechniquesNames, Identity, and Discrimination Research

The Social Desirability Atlas

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Bursztyn, Leonardo, Haaland, Ingar, Röver, Nicolas, Roth, Christopher·2025·National Bureau of Economic Research

Abstract

Social desirability bias (SDB) is a pervasive threat to the validity of survey and experimental data.Respondents might often misreport sensitive attitudes and behaviors to appear more socially acceptable.We begin by synthesizing empirical evidence on the prevalence and magnitude of SDB across various domains, focusing on studies with individual-level benchmarks.We then critically assess commonly used strategies to mitigate SDB, highlighting how they can sometimes fail by creating confusion or inadvertently increasing perceived sensitivity.To help researchers navigate these challenges, we offer practical guidance on selecting the most suitable tools for different research contexts.Finally, we examine how SDB can distort treatment effects in experiments and discuss mitigation strategies.

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  • One limitation of contingent valuation (CV) studies is that stated willingness to pay (WTP) may overstate true WTP, as some respondents may feel social pressure to indicate support for policies, even if they would not do so in an actual decision-making context.

    “One limitation of contingent valuation (CV) studies is that stated willingness to pay (WTP) may overstate true WTP, as some respondents may feel social pressure to indicate support for policies, even if they would not do so in an actual decision-making context.(Diamond and Hausman, 1994;List, 2025;Bursztyn et al., 2025).”

    From What is the Best Response? Examining the Impact of Police and Their Alternatives (2025) · cites this paper as Bursztyn et al., 2025

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Cited by

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Authors
Bursztyn, L., Haaland, I., Röver, N., & Roth, C.
Affiliations
  • National Bureau of Economic Research (US)
  • Norwegian School of Economics (NO)
  • University of Cologne (DE)
Venue
National Bureau of Economic Research
Published
2025-06
OpenAlex
W4411334153
Cited by
18
References
5
Citations by year
2026: 16 · 2025: 2
Type
report
Language
en
Open access
Locations
National Bureau of Economic Research (publishedVersion)
Funders
Deutsche Forschungsgemeinschaft (EXC 2126/1, 390838866)
Topics
  • Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
  • Physical Sciences › Mathematics › Statistics and Probability › Survey Sampling and Estimation Techniques
  • Social Sciences › Sociology and Political Science › Names, Identity, and Discrimination Research
Keywords
social desirability bias, survey data validity, sensitive questions, misreporting, bias mitigation strategies, treatment effect estimation, experimental validity

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