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How Words and Money Cultivate a Personal Vote: The Effect of Legislator Credit Claiming on Constituent Credit Allocation

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  • GRIMMER, JUSTIN
  • MESSING, SOLOMON
  • WESTWOOD, SEAN J.

Abstract

Particularistic spending, a large literature argues, builds support for incumbents. This literature equates money spent in the district with the credit constituents allocate. Yet, constituents lack the necessary information and motivation to allocate credit in this way. We use extensive observational and experimental evidence to show how legislators’ credit claiming messages—and not just money spent in the district—affect how constituents allocate credit. Legislators use credit claiming messages to influence the expenditures they receive credit for and to affect how closely they are associated with spending in the district. Constituents are responsive to credit claiming messages—they build more support than other nonpartisan messages. But contrary to expectations from other studies, constituents are more responsive to the total number of messages sent rather than the amount claimed. Our results have broad implications for political representation, the personal vote, and the study of U.S. Congressional elections.

Suggested Citation

  • Grimmer, Justin & Messing, Solomon & Westwood, Sean J., 2012. "How Words and Money Cultivate a Personal Vote: The Effect of Legislator Credit Claiming on Constituent Credit Allocation," American Political Science Review, Cambridge University Press, vol. 106(4), pages 703-719, November.
  • Handle: RePEc:cup:apsrev:v:106:y:2012:i:04:p:703-719_00
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    Cited by:

    1. Marianne Bertrand & Matilde Bombardini & Raymond Fisman & Francesco Trebbi, 2020. "Tax-Exempt Lobbying: Corporate Philanthropy as a Tool for Political Influence," American Economic Review, American Economic Association, vol. 110(7), pages 2065-2102, July.
    2. Hangartner, Dominik & Ruiz, Nelson A. & Tukiainen, Janne, 2019. "Open or Closed? How List Type Affects Electoral Performance, Candidate Selection, and Campaign Effort," Working Papers 120, VATT Institute for Economic Research.
    3. Lucy Martin & Pia J. Raffler, 2021. "Fault Lines: The Effects of Bureaucratic Power on Electoral Accountability," American Journal of Political Science, John Wiley & Sons, vol. 65(1), pages 210-224, January.
    4. Fowler, Anthony & Hall, Andrew B., 2015. "Congressional seniority and pork: A pig fat myth?," European Journal of Political Economy, Elsevier, vol. 40(PA), pages 42-56.
    5. Papagni, Erasmo & Baraldi, Anna Laura & Alfano, Maria Rosaria, 2023. "Ballot structure and political selection. Evidence from changes in electoral rules," Journal of Comparative Economics, Elsevier, vol. 51(1), pages 324-347.
    6. Wajid Zulqarnain & Naveed Ullah Hashmi & Amna Zulqarnain, 2019. "Individual perception about the gratification of social and traditional media in Pakistan," Journal of Advances in Humanities and Social Sciences, Dr. Yi-Hsing Hsieh, vol. 5(6), pages 268-276.
    7. John Kuk & Deborah Seligsohn & Jiakun Jack Zhang, 2022. "The partisan divide in U.S. congressional communications after the China shock," Economics and Politics, Wiley Blackwell, vol. 34(3), pages 494-526, July.
    8. Markus Jokela & Jaakko Meriläinen & Janne Tukiainen & Åsa von Schoultz, 2022. "Personality Traits and Cognitive Ability in Political Selection," Discussion Papers 152, Aboa Centre for Economics.
    9. Nathan M. Jensen & Michael G. Findley & Daniel L. Nielson, 2020. "Electoral Institutions and Electoral Cycles in Investment Incentives: A Field Experiment on Over 3,000 U.S. Municipalities," American Journal of Political Science, John Wiley & Sons, vol. 64(4), pages 807-822, October.
    10. Constantine Boussalis & Travis G. Coan & Mirya R. Holman, 2018. "Climate change communication from cities in the USA," Climatic Change, Springer, vol. 149(2), pages 173-187, July.
    11. Hymel, Kent, 2019. "If you build it, they will drive: Measuring induced demand for vehicle travel in urban areas," Transport Policy, Elsevier, vol. 76(C), pages 57-66.
    12. Jae Yeon Kim, 2021. "Integrating human and machine coding to measure political issues in ethnic newspaper articles," Journal of Computational Social Science, Springer, vol. 4(2), pages 585-612, November.

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