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      Americans preferred Syrian refugees who are female, English-speaking, and Christian on the eve of Donald Trump’s election

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          Abstract

          What types of refugees do Americans prefer for admission into the United States? Scholars have explored the immigrant characteristics that appeal to Americans and the characteristics that Europeans prioritize in asylum-seekers, but we currently do not know which refugee characteristics Americans prefer. We conduct a conjoint experiment on a representative sample of 1800 US adults, manipulating refugee attributes in pairs of Syrian refugee profiles, and ask respondents to rate each refugee’s appeal. Our focus on Syrian refugees in a 2016 survey experiment allows us to speak to the concurrent refugee crisis on the eve of a polarizing election, while also identifying religious discrimination, holding constant the refugee’s national origin. We find that Americans prefer Syrian refugees who are female, high-skilled, English-speaking, and Christian, suggesting they prioritize refugee integration into the U.S. labor and cultural markets. We find that the preference for female refugees is not driven by the desire to exclude Muslim male refugees, casting doubt that American preferences at the time were motivated by security concerns. Finally, we find that anti-Muslim bias in refugee preferences varies in magnitude across key subgroups, though it prevails across all sample demographics.

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          Most cited references23

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          Causal Inference in Conjoint Analysis: Understanding Multidimensional Choices via Stated Preference Experiments

          Survey experiments are a core tool for causal inference. Yet, the design of classical survey experiments prevents them from identifying which components of a multidimensional treatment are influential. Here, we show howconjoint analysis, an experimental design yet to be widely applied in political science, enables researchers to estimate the causal effects of multiple treatment components and assess several causal hypotheses simultaneously. In conjoint analysis, respondents score a set of alternatives, where each has randomly varied attributes. Here, we undertake a formal identification analysis to integrate conjoint analysis with the potential outcomes framework for causal inference. We propose a new causal estimand and show that it can be nonparametrically identified and easily estimated from conjoint data using a fully randomized design. The analysis enables us to propose diagnostic checks for the identification assumptions. We then demonstrate the value of these techniques through empirical applications to voter decision making and attitudes toward immigrants.
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            Predisposing Factors and Situational Triggers: Exclusionary Reactions to Immigrant Minorities

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              Public Attitudes Toward Immigration

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                2019
                10 October 2019
                : 14
                : 10
                : e0222504
                Affiliations
                [1 ] Department of Political Science, University of California, San Diego, La Jolla, CA, United States of America
                [2 ] Department of Political Science, University of Wisconsin-Madison, Madison, WI, United States of America
                [3 ] Division of Social Science, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates
                University of California-Irvine, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-3493-5539
                http://orcid.org/0000-0001-5791-5541
                Article
                PONE-D-19-12512
                10.1371/journal.pone.0222504
                6786519
                31600224
                de30f5e0-0c7d-40b8-bb8a-71b15edd9512
                © 2019 Adida et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 2 May 2019
                : 2 September 2019
                Page count
                Figures: 10, Tables: 1, Pages: 18
                Funding
                Funded by: National Science Foundation
                Award ID: SES-1503802
                Award Recipient :
                Funded by: UCSD Academic Senate
                Award ID: RP56G
                Award Recipient :
                This study is funded by an National Science Foundation RAPID Collaborative grant SES-1503802 ( www.nsf.gov) and by the University of California, San Diego Academic Senate RP56G ( www.ucsd.edu) under author C.A. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Social Sciences
                Economics
                Human Capital
                Economics of Migration
                Social Sciences
                Anthropology
                Cultural Anthropology
                Religion
                Social Sciences
                Sociology
                Religion
                Social Sciences
                Political Science
                National Security
                Social Sciences
                Political Science
                Elections
                People and places
                Geographical locations
                North America
                United States
                Research and Analysis Methods
                Research Design
                Survey Research
                Surveys
                Biology and Life Sciences
                Psychology
                Psychological Attitudes
                Social Sciences
                Psychology
                Psychological Attitudes
                Social Sciences
                Sociology
                Culture
                Custom metadata
                All relevant data available in the paper and its Supporting Information files as well as from github at https://github.com/adelinelo/refugee-conjoint.

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                Uncategorized

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