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Endorsement Experiment×Audit Experiment×
领域Political SciencePolitical Science
方法族Process / pipelineProcess / pipeline
起源年份20112011
提出者Bullock, Imai & Shapiro (statistical framework)Butler & Broockman (political responsiveness audits); Bertrand & Mullainathan (correspondence-audit lineage)
类型Indirect survey experiment for sensitive latent supportRandomized field experiment using matched fictitious requests
开创性文献Bullock, W., Imai, K., & Shapiro, J. N. (2011). Statistical Analysis of Endorsement Experiments: Measuring Support for Militant Groups in Pakistan. Political Analysis, 19(4), 363–384. DOI ↗Butler, D. M., & Broockman, D. E. (2011). Do Politicians Racially Discriminate Against Constituents? A Field Experiment on State Legislators. American Journal of Political Science, 55(3), 463–477. DOI ↗
别名Endorsement question design, Endorsement experiment design, Indirect support measurement, Group-endorsement experimentCorrespondence study, Field audit study, Discrimination audit, Responsiveness audit
相关44
摘要An endorsement experiment indirectly measures latent support for a sensitive or stigmatized actor by randomizing whether a policy is attributed to that actor and comparing how respondents' support for the policy shifts. Formalized statistically by Bullock, Imai, and Shapiro in 2011 to measure support for militant groups in Pakistan, the design infers favorability toward an actor that respondents would not safely disclose directly from the change in policy support it induces, typically estimated with hierarchical item-response models.An audit experiment, also called a correspondence or field audit study, sends matched but fictitious requests to real-world targets — such as legislators, landlords, or employers — while randomizing a single treatment cue, then compares the rate and quality of responses. In political science the canonical design follows Butler and Broockman's 2011 study of U.S. state legislators, which varied the putative race signaled by a constituent's name to measure discrimination in responsiveness.
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ScholarGate方法对比: Endorsement Experiment · Audit Experiment. 于 2026-06-25 检索自 https://scholargate.app/zh/compare