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What Do We Learn about Voter Preferences from Conjoint Experiments

Bibliographic Data

ID6231749
AuthorsScott F Abramson (0009-0003-1932-307X, University of Rochester), Korhan Kocak (0000-0001-9811-9533, New York University Abu Dhabi), Asya Magazinnik (0000-0002-6822-4153, Massachusetts Institute of Technology, corresponding author)
Year2022
Volume66
Issue4
Pages1008-1020
Publication date2022-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAmerican Journal of Political Science (JOURNAL)
Journal identifiersISSN: 0092-5853 • E-ISSN: 1540-5907
PublisherWiley (PUBLISHER • GB)
DOI10.1111/ajps.12714
OpenAlexW4292966126
LanguageEN
Citations received101
References cited17

Political scientists frequently interpret the results of conjoint experiments as reflective of majority preferences. In this article, we show that the target estimand of conjoint experiments, the average marginal component effect (AMCE), is not well defined in these terms. Even with individually rational experimental subjects, the AMCE can indicate the opposite of the true preference of the majority. To show this, we characterize the preference aggregation rule implied by the AMCE and demonstrate its several undesirable properties. With this result, we provide a method for placing bounds on the proportion of experimental subjects who prefer a given candidate feature. We describe conditions under which the AMCE corresponds in sign with the majority preference. Finally, we offer a structural interpretation of the AMCE and highlight that the problem we describe persists even when a model of voting is imposed

Conjoint analysis · Contrast (vision · Econometrics · Economics · Feature (linguistics · Interpretation (philosophy · Majority rule · Mathematical economics · Microeconomics · Political science · Politics · Preference · Sign (mathematics · Voting · Artificial Intelligence · Computer Science · Economic and Environmental Valuation · Electoral Systems and Political Participation · Game Theory and Voting Systems · Mathematics · Psychology

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Unique citing works101
Citations per year16,83
Citation span2020 - 2026 (7)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 99

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