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Explaining Presidential Popularity: How Ad Hoc Theorizing, Misplaced Emphasis, and Insufficient Care in Measuring One's Variables Refuted Common Sense and Led Conventional Wisdom Down the Path of Anomalies

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  • Kernell, Samuel

Abstract

Within the last ten years a new conventional wisdom has surfaced in political science which tells us that presidents inexorably become less popular over time. Not much else matters. Neither the economy, nor the Vietnam War, not even Watergate seems to have had much independent effect on presidential popularity once time is taken into account. Before embracing these conclusions we need to reconsider the method that produced them. I argue that previous research too willingly accepted time as an explanatory variable, enshrouding it with theoretical meaning. To preserve its explanatory power alternative, substantive variables were shortchanged in their operational definitions and measurement. In this article I reverse the emphasis. Here, time is rejected as an explanatory variable and is employed only as a diagnostic indicator of the adequacy of the equations. A variety of alternative representations of real-world forces such as the economy and war are tested and some considerably improve the time-series correlation between the environment and presidential popularity. With these substantive variables I propose a simpler, if less glamorous, theory of presidential popularity consisting of two hypotheses: first, popularity is related to real events and conditions, and second, that it responds slowly to environmental change. Popularity is then both experiential and incremental. The findings for Presidents Truman through Nixon support this common-sense view. The Korean War (measured by U.S. casualties), the Vietnam War (measured by the number of bombing missions over North Vietnam and the U.S. war dead), the economy (especially six-month changes in consumer prices), Watergate, international “rally” events, and early term surges of approval all contribute independently to short-term fluctuations in presidential popularity. Moreover, as predicted, popularity appears to be autoregressive even when represented by an instrumental variables surrogate measure to minimize serial correlation. When the equations are specified in this way, time proves to be unnecessary in order to explain trends in presidential popularity.

Suggested Citation

  • Kernell, Samuel, 1978. "Explaining Presidential Popularity: How Ad Hoc Theorizing, Misplaced Emphasis, and Insufficient Care in Measuring One's Variables Refuted Common Sense and Led Conventional Wisdom Down the Path of Anom," American Political Science Review, Cambridge University Press, vol. 72(2), pages 506-522, June.
  • Handle: RePEc:cup:apsrev:v:72:y:1978:i:02:p:506-522_15
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    Cited by:

    1. Berlemann, Michael & Enkelmann, Sören, 2014. "The economic determinants of U.S. presidential approval: A survey," European Journal of Political Economy, Elsevier, vol. 36(C), pages 41-54.
    2. Enrijeta Shino & Michael Binder, 2020. "Defying the Rally During COVID‐19 Pandemic: A Regression Discontinuity Approach," Social Science Quarterly, Southwestern Social Science Association, vol. 101(5), pages 1979-1994, September.
    3. Anastasia Kazun, 2016. "Rally-Around-The-Flag and the Media: Case of Economic Sanctions in Russia," HSE Working papers WP BRP 33/PS/2016, National Research University Higher School of Economics.
    4. Maxime Menuet & Patrick Villieu & Marcel Voia, 2021. "Does public debt secure social peace? A diversionary theory of public debt management," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 57(3), pages 475-501, October.
    5. William Seitz & Alberto Zazzaro, 2020. "Sanctions and public opinion: The case of the Russia-Ukraine gas disputes," The Review of International Organizations, Springer, vol. 15(4), pages 817-843, October.
    6. Tomasz Wisniewski & Geoffrey Lightfoot & Simon Lilley, 2012. "Speculating on presidential success: exploring the link between the price–earnings ratio and approval ratings," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 36(1), pages 106-122, January.
    7. Michael Berlemann & Sören Enkelmann & Torben Kuhlenkasper, 2015. "Unraveling the Relationship Between Presidential Approval and the Economy: A Multidimensional Semiparametric Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(3), pages 468-486, April.
    8. Ji Won Jung & Jinhwan Oh, 2020. "Determinants of presidential approval ratings: Cross-country analyses with reference to Latin America," International Area Studies Review, Center for International Area Studies, Hankuk University of Foreign Studies, vol. 23(3), pages 251-267, September.
    9. Richard C. Eichenberg & Richard J. Stoll & Matthew Lebo, 2006. "War President," Journal of Conflict Resolution, Peace Science Society (International), vol. 50(6), pages 783-808, December.
    10. Berlemann, Michael & Enkelmann, Soeren & Kuhlenkasper, Torben, 2012. "Unraveling the complexity of US presidential approval: A multi-dimensional semi-parametric approach," HWWI Research Papers 118, Hamburg Institute of International Economics (HWWI).
    11. Mark J Wattier & Raymond Tatalovich, 2000. "Issue Publics, Mass Publics, and Agenda Setting: Environmentalism and Economics in Presidential Elections," Environment and Planning C, , vol. 18(1), pages 115-126, February.

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