Status threat, not economic hardship, explains the 2016 presidential vote

Author:

Mutz Diana C.ORCID

Abstract

This study evaluates evidence pertaining to popular narratives explaining the American public’s support for Donald J. Trump in the 2016 presidential election. First, using unique representative probability samples of the American public, tracking the same individuals from 2012 to 2016, I examine the “left behind” thesis (that is, the theory that those who lost jobs or experienced stagnant wages due to the loss of manufacturing jobs punished the incumbent party for their economic misfortunes). Second, I consider the possibility that status threat felt by the dwindling proportion of traditionally high-status Americans (i.e., whites, Christians, and men) as well as by those who perceive America’s global dominance as threatened combined to increase support for the candidate who emphasized reestablishing status hierarchies of the past. Results do not support an interpretation of the election based on pocketbook economic concerns. Instead, the shorter relative distance of people’s own views from the Republican candidate on trade and China corresponded to greater mass support for Trump in 2016 relative to Mitt Romney in 2012. Candidate preferences in 2016 reflected increasing anxiety among high-status groups rather than complaints about past treatment among low-status groups. Both growing domestic racial diversity and globalization contributed to a sense that white Americans are under siege by these engines of change.

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

Reference57 articles.

1. Allison PD (2005) Causal inference with panel data. Proceedings of the Annual Meeting of the American Sociology Association (Philadelphia). Available at https://statisticalhorizons.com/wp-content/uploads/2012/01/Causal-Inference.pdf. Accessed April 3, 2018.

2. Porter E (December 13, 2016) Where were Trump’s votes? Where the jobs weren’t. NY Times. Available at https://www.nytimes.com/2016/12/13/business/economy/jobs-economy-voters.html. Accessed April 3, 2018.

3. Sides J (June 11, 2017) Race, religion, and immigration in 2016: How the debate over American identity shaped the election and what it means for a Trump presidency. Insights from the 2016 VOTER Survey. Available at https://www.voterstudygroup.org/publications/2016-elections/race-religion-immigration-2016. Accessed April 3, 2018.

4. Lagged explanatory variables and the estimation of causal effects;Bellemare;J Polit,2017

5. Schaffner BF MacWilliams M Tatishe N (2017) Understanding white polarization in the 2016 vote for president: The sobering role of racism and sexism. Available at people.umass.edu/schaffne/schaffner_et_al_PSQ_accepted.pdf. Accessed April 3, 2018.

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