Hostname: page-component-8448b6f56d-m8qmq Total loading time: 0 Render date: 2024-04-15T13:55:19.125Z Has data issue: false hasContentIssue false

Macropartisanship Revisited

Published online by Cambridge University Press:  30 March 2023

Abstract

Canonical work argues that macropartisanship—the aggregate distribution of Democrats and Republicans in the country at a given time—is responsive to the economic and political environment. In other words, if times are good when Democrats are in charge (or bad when Republicans are in charge), more Americans will identify with the Democratic Party. We extend the pioneering work of MacKuen, Erikson, and Stimson (1989), who analyzed macropartisanship from 1953 through 1987, to 2021, assessing whether consumer sentiment and presidential approval still influence macropartisanship in an era of nationalized elections and affective polarization. We find that change has occurred. The effect of consumer sentiment on macropartisanship is no longer statistically distinguishable from zero, and we find evidence of “structural breaks” in the macropartisanship time series. Macropartisanship appears to have become less responsive to economic swings; approval-induced changes in macropartisanship have become more fleeting over time.

Type
Reflection
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the American Political Science Association

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

*

Data replication sets are available in Harvard Dataverse at: https://doi.org/10.7910/DVN/2OL2CM

References

Abramowitz, Alan I., and Webster, Steven. 2016. “The Rise of Negative Partisanship and the Nationalization of U.S. Elections in the 21st Century.” Electoral Studies 41: 1222. DOI: 10.1016/j.electstud.2015.11.001.Google Scholar
Abramson, Paul R., and Ostrom, Charles W. Jr. 1991. “Macropartisanship: An Empirical Reassessment.” American Political Science Review 85 (1): 181–92. DOI: 10.2307/1962884.CrossRefGoogle Scholar
Bai, Jushan, and Perron, Pierre. 1998. “Estimating and Testing Linear Models with Multiple Structural Changes.” Econometrica 66 (1): 4778. DOI: 10.2307/2998540.Google Scholar
Bai, Jushan, and Perron, Pierre. 2003. “Computation and Analysis of Multiple Structural Change Models.” Journal of Applied Econometrics 18 (1): 122. DOI: 10.1002/jae.659.CrossRefGoogle Scholar
Bartels, Larry M. 2002. “Beyond the Running Tally: Partisan Bias in Political Perceptions.” Political Behavior 24 (2): 117–50. DOI: 10.1023/A:1021226224601.CrossRefGoogle Scholar
Beck, Nathaniel. 1991. “Comparing Dynamic Specifications: The Case of Presidential Approval.” Political Analysis 3: 5187. DOI: 10.1093/pan/3.1.51.Google Scholar
Bonica, Adam, and Cox, Gary W.. 2018. “Ideological Extremists in the U.S. Congress: Out of Step but Still in Office.” Quarterly Journal of Political Science 13 (2): 207–36. DOI: 10.1561/100.00016073.CrossRefGoogle Scholar
Broockman, David E., and Kalla, Joshua L.. 2022. “The Manifold Effects of Partisan Media on Viewers’ Beliefs and Attitudes: A Field Experiment with Fox News Viewers.” OSF Preprints, April 1. DOI: 10.31219/osf.io/jrw26.Google Scholar
Campbell, Angus, Converse, Philip E., Miller, Warren E., and Stokes, Donald E.. 1960. The American Voter. New York: Wiley and Sons.Google Scholar
Converse, Philip E. 1962. “Information Flow and the Stability of Partisan Attitudes.” Public Opinion Quarterly 26 (4): 578–99. DOI: 10.1086/267129.CrossRefGoogle Scholar
Donovan, Kathleen, Kellstedt, Paul M., Kay, Ellen M., and Lebo, Matthew J.. 2020. “Motivated Reasoning, Public Opinion, and Presidential Approval.” Political Behavior 42 (4): 1201–21. DOI: 10.1007/s11109-019-09539-8.Google Scholar
Ellis, Christopher R., and Ura, Joseph Daniel. 2021. “Polarization and the Decline of Economic Voting in American National Elections.” Social Science Quarterly 102 (1): 8389. DOI: 10.1111/ssqu.12881.Google Scholar
Enns, Peter K., Kellstedt, Paul M., and McAvoy, Gregory E.. 2012. “The Consequences of Partisanship in Economic Perceptions.” Public Opinion Quarterly 76 (2): 287310. DOI: 10.1093/poq/nfs016.Google Scholar
Fiorina, Morris P. 1981. Retrospective Voting in American Elections. New Haven: Yale University Press.Google Scholar
Gerber, Alan S., and Huber, Gregory A.. 2009. “Partisanship, Political Control, and Economic Assessments.” American Journal of Political Science 54 (1): 153–73. DOI: 10.1111/j.1540-5907.2009.00424.x.CrossRefGoogle Scholar
Green, Donald P., Hamel, Brian, and Miller, Michael. 2022. “Replication Data for: Macropartisanship Revisited.” Harvard Dataverse. DOI: 10.7910/DVN/2OL2CM.CrossRefGoogle Scholar
Green, Donald P., Palmquist, Bradley, and Schickler, Eric. 1998. “Macropartisanship: A Replication and Critique.” American Political Science Review 92 (4): 883–99. DOI: 10.2307/2586310.CrossRefGoogle Scholar
Green, Donald P., and Yoon, David H.. 2002. “Reconciling Individual and Aggregate Evidence Concerning Partisan Stability: Applying Time-Series Models to Panel Survey Data.” Political Analysis 10 (1): 124. DOI: 10.1093/pan/10.1.1.Google Scholar
Green, Donald P., and Platzman, Paul. 2022. “Partisan Stability during Turbulent Times: Evidence from Three American Panel Surveys.” Political Behavior 69. DOI: 10.1007/s11109-022-09825-y.Google Scholar
Hamel, Brian T., and Miller, Michael G.. 2019. “How Voters Punish and Donors Protect Legislators Embroiled in Scandal.” Political Research Quarterly 72 (1): 117–31. DOI: 10.1177/1065912918781044.CrossRefGoogle Scholar
Hopkins, Daniel J. 2018. The Increasingly United States: How and Why American Political Behavior Nationalized. Chicago: University of Chicago Press.CrossRefGoogle Scholar
Iyengar, Shanto, Sood, Gaurav, and Lelkes, Yphtach. 2012. “Affect, Not Ideology: A Social Identity Perspective on Polarization.” Public Opinion Quarterly 76 (3): 405–31. DOI: 10.1093/poq/nfs038.CrossRefGoogle Scholar
Iyengar, Shanto, and Westwood, Sean J.. 2015. “Fear and Loathing across Party Lines: New Evidence on Group Polarization.” American Journal of Political Science 59 (3): 690707. DOI: 10.1111/ajps.12152.CrossRefGoogle Scholar
Jacobson, Gary C. 2015. “It’s Nothing Personal: The Decline of the Incumbency Advantage in US House Elections.” Journal of Politics 77 (3): 861–73. DOI: 10.1086/681670.Google Scholar
Kramer, Gerald H. 1971. “Short-Term Fluctuations in U.S. Voting Behavior, 1896–1964.” American Political Science Review 65 (1): 131–43. DOI: 10.2307/1955049.CrossRefGoogle Scholar
Lee, Frances E. 2016. Insecure Majorities: Congress and the Perpetual Campaign. Chicago: University of Chicago Press.CrossRefGoogle Scholar
MacKuen, Michael B., Erikson, Robert S., and Stimson, James A.. 1989. “Macropartisanship.” American Political Science Review 83 (4): 1125–42. DOI: 10.2307/1961661.CrossRefGoogle Scholar
Prior, Markus. 2007. Post-Broadcast Democracy: How Media Choice Increases Inequality in Political Involvement and Polarizes Elections. New York: Cambridge University Press. DOI: 10.1017/CBO9781139878425.CrossRefGoogle Scholar
Smidt, Corwin D. 2018. “The Consequences of Elite Party Politics for American Macropartisanship.” Journal of Politics 80 (1): 162–77. DOI: 10.1086/694202.Google Scholar
Stroud, Natalie Jomini. 2011. Niche News: The Politics of News Choice. New York: Oxford University Press. DOI: 10.1093/acprof:oso/9780199755509.001.0001.Google Scholar
Theriault, Sean M. 2013. The Gingrich Senators: The Roots of Partisan Warfare in Congress. New York: Oxford University Press. DOI: 10.1093/acprof:oso/9780199307456.001.0001.CrossRefGoogle Scholar
Tufte, Edward R. 1978. Political Control of the Economy. Princeton: Princeton University Press.Google Scholar
Tyler, Matthew, and Iyengar, Shanto. 2023. “Learning to Dislike Your Opponents: Political Socialization in the Era of Polarization.American Political Science Review 117(1): 347354. DOI: 10.1017/S000305542200048X.CrossRefGoogle Scholar
Zeileis, Achim, Leisch, Friedrich, Hornik, Kurt, and Kleiber, Christian. 2002. “Strucchange: An R Package for Testing for Structural Change in Linear Regression Models.” Journal of Statistical Software 7: 138. DOI: 10.18637/jss.v007.i02.Google Scholar
Supplementary material: Link

Green et al. Dataset

Link
Supplementary material: PDF

Green et al. supplementary material

Online Appendix

Download Green et al. supplementary material(PDF)
PDF 190.3 KB