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Social Welfare Attitudes and Immigrants as a Target Population: Experimental Evidence

Published online by Cambridge University Press:  11 September 2020

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Abstract

What makes some Americans assume that social welfare programs will benefit immigrants rather than native-born Americans? How do these assumptions shape their attitudes about policy? Recent observational research has shown that immigration attitudes and social welfare attitudes are strongly correlated, but we lack evidence of exactly how this relationship works. In this pre-registered survey experiment, I study respondents’ assumptions about beneficiaries of a generic social welfare policy, and test the effects of different “threat” primes on the assumption that the policy benefits immigrants rather than native-born Americans. I find that a prime constructing immigrants as a fiscal threat increases the likelihood that a respondent will make this assumption, while a prime emphasizing cultural or demographic threat has no significant effect. These effects vary by geographic context, but not by relevant attitudes. Attitudes about immigration become an important predictor of policy approval when this assumption is triggered.

Information

Type
Special Section: The Politics of Immigration
Copyright
© The Author(s), 2020. Published by Cambridge University Press on behalf of the American Political Science Association
Figure 0

Figure 1 Relative monthly frequency of Google search terms in the United States, June 2013 to June 2019

Figure 1

Figure 2 Proportions of respondents assuming described policy benefits immigrants to the exclusion of native-born Americans, by experimental condition, with 90% confidence intervals

Figure 2

Figure 3 Proportions of respondents assuming described policy benefits immigrants to the exclusion of native-born Americans, by experimental condition and race or ethnicity, with 90% confidence intervals

Figure 3

Table 1 Logit models of the assumption that the described policy will benefit immigrants and not native-born Americans, with state-clustered standard errors

Figure 4

Figure 4 Predicted probability of assuming described policy benefits immigrants to the exclusion of native-born Americans, by experimental condition and local Hispanic Ppopulation, with 90% confidence intervals.

Figure 5

Table 2 Linear regression models of policy approval, with interaction terms and robust standard errors

Figure 6

Figure 5 Predicted policy approval by target group assumption and anti-immigration attitudes, with 90% confidence intervals

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Haselswerdt Dataset

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Supplementary material: PDF

Haselswerdt supplementary material

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