Factors associated with attitudes toward U.S. immigration, 20042016 Institutional Repository Document uri icon

abstract

  • This study investigates demographic, socioeconomic, political, and contextual factors associated with attitudes toward U.S. immigration. We analyze cross-sectional data from the 20042016 General Social Survey and American Community Survey five-year estimates. Results from generalized ordered logit models suggest that support to immigration has been increasing over time. There is no difference by sex on attitudes toward immigration. Non-whites, those between 18 and 24 years of age, people with higher educational attainment, and non-Protestants are more likely to be pro-immigration. People working on sales, office, natural resources, construction, maintenance, production, transportation, material moving, and military occupations are less likely to support immigration. People living in the South Atlantic region are the least likely to support an increase in immigration. People who lived in areas at the age of 16 that tend to have higher proportions of foreign-born individuals are more likely to support immigration. People who self-classify as strong Democrats, Independents near Democrats, and in other parties are more likely to be in favor of an increase on the number of immigrants. People with more liberal political views are more likely to be in favor of immigration. People with lower levels of racial resentment have higher chances to be in favor of an increase in immigration. Opinion about immigration has stronger associations with racial resentment than with opinion about U.S. economic achievement. People who live in counties with higher proportions of college graduates and higher proportions of immigrants are more likely to be pro-immigration.

altmetric score

  • 1.85

author list (cited authors)

  • Amaral, E., Mitchell, P., & Marquez-Velarde, G.

citation count

  • 0

complete list of authors

  • Amaral, Ernesto FL||Mitchell, Paige||Marquez-Velarde, Guadalupe

Book Title

  • OSF Preprints

publication date

  • August 2018