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Serving Democracy: Evidence of Voting Resource Disparity in Florida

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  • Gérard P. Cachon

    (The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104)

  • Dawson Kaaua

    (McDonough School of Business, Georgetown University, Washington, DC 20057)

Abstract

Florida, an important state in presidential elections in the United States, has received considerable media coverage in recent years for long lines to vote. Do some segments of the population receive a disproportionate share of the resources to serve the voting process, which could encourage some or dissuade others from voting? We conduct the first empirical panel data study to examine whether minority and Democrat voters in Florida experience lower poll worker staffing, which could lengthen the time to vote. We do not find evidence of a disparity directly due to race. Instead, we observe a political party effect—all else equal, a 1% increase in the percentage of voters registered as Democrat in a county increases the number of registered voters per poll worker by 3.5%. This effect appears to be meaningful—using a voting queue simulation, a 5% increase in voters registered as Democrat in a county could increase the average wait time to vote from 40 minutes (the approximate average wait time to vote in Florida in 2012 and the highest average wait time across all states in that election per the Cooperative Congressional Election Study) to about 115 minutes.

Suggested Citation

  • Gérard P. Cachon & Dawson Kaaua, 2022. "Serving Democracy: Evidence of Voting Resource Disparity in Florida," Management Science, INFORMS, vol. 68(9), pages 6687-6696, September.
  • Handle: RePEc:inm:ormnsc:v:68:y:2022:i:9:p:6687-6696
    DOI: 10.1287/mnsc.2022.4497
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    References listed on IDEAS

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    1. Clinton, Joshua D. & Eubank, Nick & Fresh, Adriane & Shepherd, Michael E., 2021. "Polling place changes and political participation: evidence from North Carolina presidential elections, 2008–2016," Political Science Research and Methods, Cambridge University Press, vol. 9(4), pages 800-817, October.
    2. White, Ariel R. & Nathan, Noah L. & Faller, Julie K., 2015. "What Do I Need to Vote? Bureaucratic Discretion and Discrimination by Local Election Officials," American Political Science Review, Cambridge University Press, vol. 109(1), pages 129-142, February.
    3. Cain, Bruce E., 1985. "Assessing the Partisan Effects of Redistricting," American Political Science Review, Cambridge University Press, vol. 79(2), pages 320-333, June.
    4. Muer Yang & Theodore Allen & Michael Fry & W. Kelton, 2013. "The call for equity: simulation optimization models to minimize the range of waiting times," IISE Transactions, Taylor & Francis Journals, vol. 45(7), pages 781-795.
    5. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    6. Riker, William H. & Ordeshook, Peter C., 1968. "A Theory of the Calculus of Voting," American Political Science Review, Cambridge University Press, vol. 62(1), pages 25-42, March.
    7. Brady, Henry E. & Mcnulty, John E., 2011. "Turning Out to Vote: The Costs of Finding and Getting to the Polling Place," American Political Science Review, Cambridge University Press, vol. 105(1), pages 115-134, February.
    8. Riker, William H. & Ordeshook, Peter C., 1968. "A Theory of the Calculus of Voting," American Political Science Review, Cambridge University Press, vol. 62(1), pages 25-42, March.
    9. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    10. Bowsher, Clive G., 2002. "On testing overidentifying restrictions in dynamic panel data models," Economics Letters, Elsevier, vol. 77(2), pages 211-220, October.
    11. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    12. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
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