President Trump Stress Disorder: Partisanship, Ethnicity, and Expressive Reporting of Mental Distress After the 2016 Election
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DOI: 10.1177/2158244019830865
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- Hamlin, Alan & Jennings, Colin, 2011.
"Expressive Political Behaviour: Foundations, Scope and Implications,"
British Journal of Political Science, Cambridge University Press, vol. 41(3), pages 645-670, July.
- Alan Hamlin & Colin Jennings, 2009. "Expressive Political Behaviour: Foundations, Scope and Implications," Working Papers 0918, University of Strathclyde Business School, Department of Economics.
- Hamlin, Alan & Jennings, Colin, 2009. "Expressive Political Behaviour: Foundations, Scope and Implications," SIRE Discussion Papers 2009-41, Scottish Institute for Research in Economics (SIRE).
- Avi Goldfarb & Shane M. Greenstein & Catherine E. Tucker, 2015. "Economic Analysis of the Digital Economy," NBER Books, National Bureau of Economic Research, Inc, number gree13-1, June.
- Prior, Markus & Sood, Gaurav & Khanna, Kabir, 2015. "You Cannot be Serious: The Impact of Accuracy Incentives on Partisan Bias in Reports of Economic Perceptions," Quarterly Journal of Political Science, now publishers, vol. 10(4), pages 489-518, December.
- Shanto Iyengar & Sean J. Westwood, 2015. "Fear and Loathing Across Party Lines: New Evidence on Group Polarization," American Journal of Political Science, John Wiley & Sons, vol. 59(3), pages 690-707, July.
- John G. Bullock & Alan S. Gerber & Seth J. Hill & Gregory A. Huber, 2013. "Partisan Bias in Factual Beliefs about Politics," NBER Working Papers 19080, National Bureau of Economic Research, Inc.
- Gerber, Alan S. & Huber, Gregory A., 2009. "Partisanship and Economic Behavior: Do Partisan Differences in Economic Forecasts Predict Real Economic Behavior?," American Political Science Review, Cambridge University Press, vol. 103(3), pages 407-426, August.
- Goldfarb, Avi & Greenstein, Shane M. & Tucker, Catherine E. (ed.), 2015. "Economic Analysis of the Digital Economy," National Bureau of Economic Research Books, University of Chicago Press, number 9780226206981, July.
- Shiou Shieh & Wan-Hsiang Pan, 2010. "Individual campaign contributions in a Downsian model: expressive and instrumental motives," Public Choice, Springer, vol. 145(3), pages 405-416, December.
- Lynn Wu & Erik Brynjolfsson, 2015. "The Future of Prediction: How Google Searches Foreshadow Housing Prices and Sales," NBER Chapters, in: Economic Analysis of the Digital Economy, pages 89-118, National Bureau of Economic Research, Inc.
- Simeon Vosen & Torsten Schmidt, 2011.
"Forecasting private consumption: survey‐based indicators vs. Google trends,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 30(6), pages 565-578, September.
- Schmidt, Torsten & Vosen, Simeon, 2009. "Forecasting Private Consumption: Survey-based Indicators vs. Google Trends," Ruhr Economic Papers 155, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- Yang, Xin & Pan, Bing & Evans, James A. & Lv, Benfu, 2015. "Forecasting Chinese tourist volume with search engine data," Tourism Management, Elsevier, vol. 46(C), pages 386-397.
- Lerman, Amy E. & Sadin, Meredith L. & Trachtman, Samuel, 2017. "Policy Uptake as Political Behavior: Evidence from the Affordable Care Act," American Political Science Review, Cambridge University Press, vol. 111(4), pages 755-770, November.
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Cited by:
- Mukhopadhyay, Sankar, 2022. "Elections have (health) consequences: Depression, anxiety, and the 2020 presidential election," Economics & Human Biology, Elsevier, vol. 47(C).
- Morey, Brittany N. & García, San Juanita & Nieri, Tanya & Bruckner, Tim A. & Link, Bruce G., 2021. "Symbolic disempowerment and Donald Trump's 2016 presidential election: Mental health responses among Latinx and white populations," Social Science & Medicine, Elsevier, vol. 289(C).
- Teresa Perry, 2023. "Did the 2016 election cause changes in substance use? An intersectional approach," Economics and Politics, Wiley Blackwell, vol. 35(3), pages 1020-1069, November.
- Niederdeppe, Jeff & Avery, Rosemary J. & Liu, Jiawei & Gollust, Sarah E. & Baum, Laura & Barry, Colleen L. & Welch, Brendan & Tabor, Emmett & Lee, Nathaniel W. & Fowler, Erika Franklin, 2021. "Exposure to televised political campaign advertisements aired in the United States 2015–2016 election cycle and psychological distress," Social Science & Medicine, Elsevier, vol. 277(C).
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Keywords
partisanship; partisan cheerleading; expressive reporting; race; ethnicity; mental health; search;All these keywords.
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