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Determinants of Welfare Policy Attitudes

A Contextual Level Analysis

Bibliographic Data

ID2155408
AuthorsKristin S Abner, Kristin Abner (University of Illinois Chicago, corresponding author)
Year2011
Volume31
Issue4
Pages466-497
Publication date2011-07-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueSociological Spectrum (JOURNAL)
Journal identifiersISSN: 0273-2173 • E-ISSN: 1521-0707
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/02732173.2011.574046
OpenAlexW2033938003
LanguageEN
Citations received1
References cited45

Using the 2008 Chicago Area Study, this article tests how residential context plays a role in welfare policy attitudes, controlling for individual level characteristics. The contextual level variables of household public assistance use and minority concentration in respondents' neighborhoods are tested using multinomial logistic regression analysis. When including controls for education, income, political party, age, employment status, gender, and race, respondents residing in neighborhoods with a higher concentration of African Americans are more likely to endorse positive attitudes toward welfare policy. Additionally, an interaction effect is found between individual level income and household public assistance use in the ZIP code when predicting welfare policy attitudes. Lower income respondents residing in neighborhoods with higher household public assistance use are more likely to endorse positive attitudes toward welfare than their higher income neighbors. Given the exploratory nature of this study, the author concludes with implications for such findings and proposes future research

Demographic economics · Economic growth · Economics · Exploratory research · Geography · Household income · Logistic regression · Multinomial logistic regression · Public economics · Public policy · Socioeconomics · Sociology · Welfare · Gender, Labor, and Family Dynamics · Homelessness and Social Issues · Medicine · Psychology · Urban, Neighborhood, and Segregation Studies

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Unique citing works1
Citations per year0,1
Citation span2016 - 2016 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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