3
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Europeans’ support for refugees of varying background is stable over time

      research-article
      1 , 2 , 3 , 2 , 3 , 4 , 2 , 3 , 5 ,
      Nature
      Nature Publishing Group UK
      Politics, Sociology, Society

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Protracted global conflicts during the past decade have led to repeated major humanitarian protection crises in Europe. During the height of the Syrian refugee crisis at the end of 2015, Europe hosted around 2.3 million people requesting asylum 1 . Today, the ongoing war in Ukraine has resulted in one of the largest humanitarian emergencies in Europe since World War II, with more than eight million Ukrainians seeking refuge across Europe 2 . Here we explore whether repeated humanitarian crises threaten to exhaust solidarity and whether Europeans welcome Ukrainian asylum seekers over other asylum seekers 3, 4 . We conducted repeat conjoint experiments during the 2015–2016 and 2022 refugee crises, asking 33,000 citizens in 15 European countries to evaluate randomly varied profiles of asylum seekers. We find that public preferences for asylum seekers with specific attributes have remained remarkably stable and general support has, if anything, increased slightly over time. Ukrainian asylum seekers were welcomed in 2022, with their demographic, religious and displacement profile having a larger role than their nationality. Yet, this welcome did not come at the expense of support for other marginalized refugee groups, such as Muslim refugees. These findings have implications for our theoretical understanding of the drivers and resilience of public attitudes towards refugees and for policymakers tasked to find effective responses to the enduring stress on the asylum system 58 .

          Abstract

          Surveys conducted in 15 European countries in 2016 and 2022 show stable attitudes towards asylum seekers and refugees with different attributes over this period with a slight increase in support for asylum seekers in general.

          Related collections

          Most cited references21

          • Record: found
          • Abstract: found
          • Article: not found

          Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies

          This paper proposes entropy balancing, a data preprocessing method to achieve covariate balance in observational studies with binary treatments. Entropy balancing relies on a maximum entropy reweighting scheme that calibrates unit weights so that the reweighted treatment and control group satisfy a potentially large set of prespecified balance conditions that incorporate information about known sample moments. Entropy balancing thereby exactly adjusts inequalities in representation with respect to the first, second, and possibly higher moments of the covariate distributions. These balance improvements can reduce model dependence for the subsequent estimation of treatment effects. The method assures that balance improves on all covariate moments included in the reweighting. It also obviates the need for continual balance checking and iterative searching over propensity score models that may stochastically balance the covariate moments. We demonstrate the use of entropy balancing with Monte Carlo simulations and empirical applications.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            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.
              Bookmark
              • Record: found
              • Abstract: not found
              • Book: not found

              Cultural Backlash

                Bookmark

                Author and article information

                Contributors
                dominik.hangartner@gess.ethz.ch
                Journal
                Nature
                Nature
                Nature
                Nature Publishing Group UK (London )
                0028-0836
                1476-4687
                9 August 2023
                9 August 2023
                2023
                : 620
                : 7975
                : 849-854
                Affiliations
                [1 ]GRID grid.47840.3f, ISNI 0000 0001 2181 7878, Department of Political Science, , University of California, Berkeley, ; Berkeley, CA USA
                [2 ]GRID grid.168010.e, ISNI 0000000419368956, Immigration Policy Lab, , Stanford University, ; Stanford, CA USA
                [3 ]GRID grid.5801.c, ISNI 0000 0001 2156 2780, Immigration Policy Lab, , ETH Zurich, ; Zurich, Switzerland
                [4 ]GRID grid.168010.e, ISNI 0000000419368956, Department of Political Science, , Stanford University, ; Stanford, CA USA
                [5 ]GRID grid.5801.c, ISNI 0000 0001 2156 2780, Public Policy Group, , ETH Zurich, ; Zurich, Switzerland
                Author information
                http://orcid.org/0000-0001-8214-9041
                http://orcid.org/0000-0002-4511-7507
                Article
                6417
                10.1038/s41586-023-06417-6
                10447233
                37558879
                42e246b1-73d4-404a-aea4-8d19959e2338
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 8 December 2022
                : 7 July 2023
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2023

                Uncategorized
                politics,sociology,society
                Uncategorized
                politics, sociology, society

                Comments

                Comment on this article