Using Conjoint Experiments to Analyze Elections: The Essential Role of the Average Marginal Component Effect (AMCE)-Reference-Cited by-同舟云学术

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Using Conjoint Experiments to Analyze Elections: The Essential Role of the Average Marginal Component Effect (AMCE)

Published:2020 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Bansak Kirk,Hainmueller Jens,Hopkins Daniel J.,Yamamoto Teppei

Publisher

Elsevier BV

Reference16 articles.

1. Americans preferred Syrian refugees who are female, English-speaking, and Christian on the eve of Donald Trump's election;Claire L Adida;PloS one,2019

2. How Clients Select Brokers;Adam Auerbach;American Political Science Review,2018

3. Beyond the Breaking Point?;Kirk Bansak;Political Science Research and Methods,2021

4. Conjoint Survey Experiments;Kirk Bansak;Advances in Experimental Political Science,2021

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1. Compensation and Tax Fairness: Evidence From Four Countries;British Journal of Political Science;2024-03-01

2. Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis;Political Analysis;2024-02-08

3. Give, take, or match? Styles of reciprocity, job satisfaction, and work motivation;Public Administration Review;2023-10-22

4. Why vote for an independent? The relevance of negative identity, independent identity, and dealignment in a pro-independent political environment;Party Politics;2023-08-30

5. The Tripwire Effect: Experimental Evidence Regarding U.S. Public Opinion;Foreign Policy Analysis;2023-07-24

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