The Differential Effects of Economic Conditions and Racial Attitudes in the Election of Donald Trump
Bibliographic Data
| ID | 6320781 |
|---|---|
| Authors | Jon Green (0000-0002-6542-6745, The Ohio State University), Sean Mcelwee (The Ohio State University) |
| Year | 2019 |
| Volume | 17 |
| Issue | 02 |
| Pages | 358-379 |
| Publication date | 2019-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Perspectives on Politics (JOURNAL) |
| Journal identifiers | ISSN: 1537-5927 • E-ISSN: 1541-0986 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s1537592718003365 |
| OpenAlex | W2898737590 |
| Language | EN |
| Citations received | 35 |
| References cited | 27 |
Debates over the extent to which racial attitudes and economic distress explain voting behavior in the 2016 election have tended to be limited in scope, focusing on the extent to which each factor explains white voters’ two-party vote choice. This limited scope obscures important ways in which these factors could have been related to voting behavior among other racial sub-groups of the electorate, as well as participation in the two-party contest in the first place. Using the vote-validated 2016 Cooperative Congressional Election Survey, merged with economic data at the ZIP code and county levels, we find that racial attitudes strongly explain two-party vote choice among white voters—in line with a growing body of literature. However, we also find that local economic distress was strongly associated with non-voting among people of color, complicating direct comparisons between racial and economic explanations of the 2016 election and cautioning against generalizations regarding causal emphasis
CONTEST · Demographic economics · Economics · Political economy · Political science · Scope (computer science · Voting · Voting behavior · White (mutation · Electoral Systems and Political Participation · Law · Populism, Right-Wing Movements · Social and Cultural Dynamics
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| Unique citing works | 35 |
|---|---|
| Citations per year | 5 |
| Citation span | 2019 - 2025 (7) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 35 |