Comparer des méthodes

	Audit Experiment	Field Experiment in Politics
Domaine	Political Science	Political Science
Famille	Process / pipeline	Process / pipeline
Année d'origine	2011	2000
Auteur d'origine	Butler & Broockman (political responsiveness audits); Bertrand & Mullainathan (correspondence-audit lineage)	Gerber & Green (modern political field experiments)
Type	Randomized field experiment using matched fictitious requests	Randomized experiment conducted in a real political setting
Source fondatrice	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.	Gerber, A. S., & Green, D. P. (2000). The Effects of Canvassing, Telephone Calls, and Direct Mail on Voter Turnout: A Field Experiment. American Political Science Review, 94(3), 653–663.
Alias	Correspondence study, Field audit study, Discrimination audit, Responsiveness audit	Political field experiment, Get-out-the-vote experiment, GOTV experiment, Voter mobilization experiment
Apparentées	4	4
Résumé	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.	A field experiment in political science randomizes a real intervention — such as a get-out-the-vote canvass, mailing, or phone call — among genuine political actors in their natural environment and compares behavioral outcomes like validated turnout. Revived for the discipline by Gerber and Green's 2000 voter-mobilization study and codified in their 2012 textbook, the approach combines the causal leverage of randomization with the realism of consequential, real-world settings, while carefully distinguishing the effect of being assigned a treatment from the effect of actually receiving it.