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      Attitudes Toward Migrants in a Highly Impacted Economy: Evidence From the Syrian Refugee Crisis in Jordan

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          Abstract

          With international migration at a record high, a burgeoning literature has explored the drivers of public attitudes toward migrants. However, most studies to date have focused on developed countries, which have relatively fewer migrants and more capacity to absorb them. We address this sample bias by conducting a survey of public attitudes toward Syrians in Jordan, a developing country with one of the largest shares of refugees. Our analysis indicates that neither personal- nor community-level exposure to the economic impact of the refugee crisis is associated with antimigrant sentiments among natives. Furthermore, an embedded conjoint experiment validated with qualitative evidence demonstrates the relative importance of humanitarian and cultural concerns over economic ones. Taken together, our findings weaken the case for egocentric and sociotropic economic concerns as critical drivers of antimigrant attitudes and demonstrate how humanitarian motives can sustain support for refugees when host and migrant cultures are similar.

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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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              Politicized Places: Explaining Where and When Immigrants Provoke Local Opposition

              In ethnic and racial terms, America is growing rapidly more diverse. Yet attempts to extend racial threat hypotheses to today's immigrants have generated inconsistent results. This article develops the politicized places hypothesis, an alternative that focuses on how national and local conditions interact to construe immigrants as threatening. Hostile political reactions to neighboring immigrants are most likely when communities undergo sudden influxes of immigrants and when salient national rhetoric reinforces the threat. Data from several sources, including twelve geocoded surveys from 1992 to 2009, provide consistent support for this approach. Time-series cross-sectional and panel data allow the analysis to exploit exogenous shifts in salient national issues such as the September 11 attacks, reducing the problem of residential self-selection and other threats to validity. The article also tests the hypothesis using new data on local anti-immigrant policies. By highlighting the interaction of local and national conditions, the politicized places hypothesis can explain both individual attitudes and local political outcomes.
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                Author and article information

                Journal
                Comparative Political Studies
                Comparative Political Studies
                SAGE Publications
                0010-4140
                1552-3829
                May 21 2020
                : 001041402091991
                Affiliations
                [1 ]Stanford University, CA, USA
                [2 ]Immigration Policy Lab, Stanford, CA, USA, and ETH Zürich, Switzerland
                [3 ]ETH Zürich, Switzerland
                [4 ]London School of Economics and Political Science, UK
                Article
                10.1177/0010414020919910
                bf3e4d11-4a99-4636-a0e2-ed117fa3b0e7
                © 2020

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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