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Civil Rights Protests and Election Outcomes: Exploring the Effects of the Poor People's Campaign

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  • D. Mark Anderson
  • Kerwin Charles
  • Krzysztof Karbownik
  • Daniel I. Rees
  • Camila Steffens

Abstract

The Poor People’s Campaign (PPC) of 1968 was focused on highlighting, and ultimately reducing, poverty in the United States. As part of the campaign, protestors from across the country were transported to Washington, D.C. in 6 separate bus caravans, each of which made stops en route to rest, recruit, and hold non-violent protests. Using data from 1960-1970, we estimate the effects of these protests on congressional election outcomes. In the South, we find that PPC protests led to reductions in Democratic vote share and turnout, while in the West they may have benefited Democratic candidates at the expense of their Republican rivals.

Suggested Citation

  • D. Mark Anderson & Kerwin Charles & Krzysztof Karbownik & Daniel I. Rees & Camila Steffens, 2023. "Civil Rights Protests and Election Outcomes: Exploring the Effects of the Poor People's Campaign," NBER Working Papers 31973, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:31973
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    1. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    2. Anna Maria Mayda & Giovanni Peri & Walter Steingress, 2022. "The Political Impact of Immigration: Evidence from the United States," American Economic Journal: Applied Economics, American Economic Association, vol. 14(1), pages 358-389, January.
    3. David Roodman & James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2019. "Fast and wild: Bootstrap inference in Stata using boottest," Stata Journal, StataCorp LP, vol. 19(1), pages 4-60, March.
    4. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    5. Collins, William J. & Margo, Robert A., 2007. "The Economic Aftermath of the 1960s Riots in American Cities: Evidence from Property Values," The Journal of Economic History, Cambridge University Press, vol. 67(4), pages 849-883, December.
    6. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    7. Sonia Bhalotra & Martin Karlsson & Therese Nilsson, 2017. "Infant Health and Longevity: Evidence from A Historical Intervention in Sweden," Journal of the European Economic Association, European Economic Association, vol. 15(5), pages 1101-1157.
    8. Lohmann, Susanne, 1993. "A Signaling Model of Informative and Manipulative Political Action," American Political Science Review, Cambridge University Press, vol. 87(2), pages 319-333, June.
    9. Wasow, Omar, 2020. "Agenda Seeding: How 1960s Black Protests Moved Elites, Public Opinion and Voting," American Political Science Review, Cambridge University Press, vol. 114(3), pages 638-659, August.
    10. Ilyana Kuziemko & Ebonya Washington, 2018. "Why Did the Democrats Lose the South? Bringing New Data to an Old Debate," American Economic Review, American Economic Association, vol. 108(10), pages 2830-2867, October.
    11. Lohmann, Susanne, 1994. "Information Aggregation through Costly Political Action," American Economic Review, American Economic Association, vol. 84(3), pages 518-530, June.
    12. Andreas Madestam & Daniel Shoag & Stan Veuger & David Yanagizawa-Drott, 2013. "Do Political Protests Matter? Evidence from the Tea Party Movement," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(4), pages 1633-1685.
    13. Soumyajit Mazumder, 2018. "The Persistent Effect of U.S. Civil Rights Protests on Political Attitudes," American Journal of Political Science, John Wiley & Sons, vol. 62(4), pages 922-935, October.
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    More about this item

    JEL classification:

    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • N32 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - U.S.; Canada: 1913-

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