IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/31973.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    Note: DAE LE PE POL
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w31973.pdf
    Download Restriction: Access to the full text is generally limited to series subscribers, however if the top level domain of the client browser is in a developing country or transition economy free access is provided. More information about subscriptions and free access is available at http://www.nber.org/wwphelp.html. Free access is also available to older working papers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Lohmann, Susanne, 1994. "Information Aggregation through Costly Political Action," American Economic Review, American Economic Association, vol. 84(3), pages 518-530, June.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bouke Klein Teeselink & Georgios Melios, 2022. "Weather to Protest: The Effect of Black Lives Matter Protests on the 2020 Presidential Election," Working Papers CEB 22-007, ULB -- Universite Libre de Bruxelles.
    2. Meinhofer, Angélica & Witman, Allison E. & Hinde, Jesse M. & Simon, Kosali, 2021. "Marijuana liberalization policies and perinatal health," Journal of Health Economics, Elsevier, vol. 80(C).
    3. van Horen, Neeltje & Kotidis, Antonios, 2018. "Repo market functioning: The role of capital regulation," CEPR Discussion Papers 13090, C.E.P.R. Discussion Papers.
    4. James G. MacKinnon, 2019. "How cluster-robust inference is changing applied econometrics," Canadian Journal of Economics, Canadian Economics Association, vol. 52(3), pages 851-881, August.
    5. Damian Clarke & Kathya Tapia-Schythe, 2021. "Implementing the panel event study," Stata Journal, StataCorp LP, vol. 21(4), pages 853-884, December.
    6. James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2024. "Cluster-robust jackknife and bootstrap inference for binary response models," Papers 2406.00650, arXiv.org.
    7. Sangnier, Marc & Zylberberg, Yanos, 2017. "Protests and trust in the state: Evidence from African countries," Journal of Public Economics, Elsevier, vol. 152(C), pages 55-67.
    8. MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Cluster-robust inference: A guide to empirical practice," Journal of Econometrics, Elsevier, vol. 232(2), pages 272-299.
    9. Jeffrey D. Michler & Anna Josephson, 2022. "Recent developments in inference: practicalities for applied economics," Chapters, in: A Modern Guide to Food Economics, chapter 11, pages 235-268, Edward Elgar Publishing.
    10. Kamila Cygan-Rehm, 2022. "Lifetime Consequences of Lost Instructional Time in the Classroom: Evidence from Shortened School Years," CESifo Working Paper Series 9892, CESifo.
    11. MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Testing for the appropriate level of clustering in linear regression models," Journal of Econometrics, Elsevier, vol. 235(2), pages 2027-2056.
    12. Sangnier, Marc & Zylberberg, Yanos, 2017. "Protests and trust in the state: Evidence from African countries," Journal of Public Economics, Elsevier, vol. 152(C), pages 55-67.
    13. James G. MacKinnon & Matthew D. Webb, 2020. "When and How to Deal with Clustered Errors in Regression Models," Working Paper 1421, Economics Department, Queen's University.
    14. Nupia Martínez, Oscar & Álvarez Gallo, Carlos Andrés, 2024. "The Impact of Massive Protests on Individual Attitudes," Documentos CEDE 21190, Universidad de los Andes, Facultad de Economía, CEDE.
    15. Joseph, Iverson-Love, 2022. "The effect of natural disaster on economic growth: Evidence from a major earthquake in Haiti," World Development, Elsevier, vol. 159(C).
    16. Matthew D. Webb, 2023. "Reworking wild bootstrap‐based inference for clustered errors," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(3), pages 839-858, August.
    17. Leopoldo Fergusson & Carlos Molina, 2020. "Facebook Causes Protests," HiCN Working Papers 323, Households in Conflict Network.
    18. Hagemann, Andreas, 2019. "Placebo inference on treatment effects when the number of clusters is small," Journal of Econometrics, Elsevier, vol. 213(1), pages 190-209.
    19. Gric, Zuzana & Ehrenbergerova, Dominika & Hodula, Martin, 2022. "The power of sentiment: Irrational beliefs of households and consumer loan dynamics," Journal of Financial Stability, Elsevier, vol. 59(C).
    20. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2023. "Fast and reliable jackknife and bootstrap methods for cluster‐robust inference," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(5), pages 671-694, August.

    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-

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:31973. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.