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Political engineering: optimizing a U.S. Presidential candidate’s platform

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  • James Cochran
  • David Curry
  • Rajesh Radhakrishnan
  • Jon Pinnell

Abstract

We explore the application of operations research to the problem of defining/refining the political strategy for a candidate in a U.S. Presidential election. We use Hierarchical Bayesian techniques to model criteria used by a stratified random sample of registered voters to evaluate a candidate/platform. We then use the estimated utility parameters as inputs to a model that finds the positions a candidate can take on the salient issues of the election that will optimize expected Electoral College votes conditional on the positions respondents perceive to have been taken by the opposing party’s nominee. This approach is unique in that it (i) considers the value that individual voters associate with various positions the candidates can take on various issues, (ii) considers the chronicity of the electorate’s perceptions of a candidate’s positions on the salient issues, and (iii) yields a solution that will optimize expected Electoral College votes. We demonstrate this model on data collected immediately prior to the 2004 U.S. Presidential election (the most recent U.S. Presidential election not involving any potential candidate for the upcoming 2012 U.S. Presidential election), and we show how these data and the model can also be used to assess the perceived clarity of a candidate’s positions, the sensitivity of a candidate’s support to her/his perceived positions, and the viability of a third party candidate. Copyright Springer Science+Business Media, LLC 2014

Suggested Citation

  • James Cochran & David Curry & Rajesh Radhakrishnan & Jon Pinnell, 2014. "Political engineering: optimizing a U.S. Presidential candidate’s platform," Annals of Operations Research, Springer, vol. 215(1), pages 63-87, April.
    • Handle: RePEc:spr:annopr:v:215:y:2014:i:1:p:63-87:10.1007/s10479-012-1189-z
    DOI: 10.1007/s10479-012-1189-z
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    1. Baruch Mevorach, 1997. "The business of elections," Quality & Quantity: International Journal of Methodology, Springer, vol. 31(4), pages 325-335, November.
    2. Enelow,James M. & Hinich,Melvin J., 1984. "The Spatial Theory of Voting," Cambridge Books, Cambridge University Press, number 9780521275156.
    3. Arora, Neeraj & Huber, Joel, 2001. "Improving Parameter Estimates and Model Prediction by Aggregate Customization in Choice Experiments," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 28(2), pages 273-283, September.
    4. Hinich, Melvin J., 1977. "Equilibrium in spatial voting: The median voter result is an artifact," Journal of Economic Theory, Elsevier, vol. 16(2), pages 208-219, December.
    5. Bonnie J. Johnson, 2005. "Identities of Competitive States in U.S. Presidential Elections: Electoral College Bias or Candidate-Centered Politics?," Publius: The Journal of Federalism, CSF Associates Inc., vol. 35(2), pages 337-355, Spring.
    6. P. V. (Sundar) Balakrishnan & Varghese S. Jacob, 1996. "Genetic Algorithms for Product Design," Management Science, INFORMS, vol. 42(8), pages 1105-1117, August.
    7. Enelow, James M. & Hinich, Melvin J., 1983. "Voting One Issue at a Time: The Question of Voter Forecasts," American Political Science Review, Cambridge University Press, vol. 77(2), pages 435-445, June.
    8. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D. With contributions by-Name:Adamowicz,Wiktor, 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304.
    9. Anthony Downs, 1957. "An Economic Theory of Political Action in a Democracy," Journal of Political Economy, University of Chicago Press, vol. 65, pages 135-135.
    10. John Ledyard, 1984. "The pure theory of large two-candidate elections," Public Choice, Springer, vol. 44(1), pages 7-41, January.
    11. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    12. Duggan, John & Fey, Mark, 2005. "Electoral competition with policy-motivated candidates," Games and Economic Behavior, Elsevier, vol. 51(2), pages 490-522, May.
    13. Leyuan Shi & Sigurdur Ólafsson & Qun Chen, 2001. "An Optimization Framework for Product Design," Management Science, INFORMS, vol. 47(12), pages 1681-1692, December.
    14. Paul E. Green & Abba M. Krieger & Yoram Wind, 2001. "Thirty Years of Conjoint Analysis: Reflections and Prospects," Interfaces, INFORMS, vol. 31(3_supplem), pages 56-73, June.
    15. Enelow, James M. & Hinich, Melvin J., 1982. "Ideology, Issues, and the Spatial Theory of Elections," American Political Science Review, Cambridge University Press, vol. 76(3), pages 493-501, September.
    16. Aldrich, John H., 1983. "A Downsian Spatial Model with Party Activism," American Political Science Review, Cambridge University Press, vol. 77(4), pages 974-990, December.
    17. Peter J. Lenk & Wayne S. DeSarbo & Paul E. Green & Martin R. Young, 1996. "Hierarchical Bayes Conjoint Analysis: Recovery of Partworth Heterogeneity from Reduced Experimental Designs," Marketing Science, INFORMS, vol. 15(2), pages 173-191.
    18. Jeffrey D. Camm & James J. Cochran & David J. Curry & Sriram Kannan, 2006. "Conjoint Optimization: An Exact Branch-and-Bound Algorithm for the Share-of-Choice Problem," Management Science, INFORMS, vol. 52(3), pages 435-447, March.
    19. Davis, Otto A. & Hinich, Melvin J. & Ordeshook, Peter C., 1970. "An Expository Development of a Mathematical Model of the Electoral Process," American Political Science Review, Cambridge University Press, vol. 64(2), pages 426-448, June.
    20. Bernard Grofman & Scott Feld, 2005. "Thinking About the Political Impacts of the Electoral College," Public Choice, Springer, vol. 123(1), pages 1-18, April.
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    1. Anderson Kenji Hirose & Cassius Tadeu Scarpin & José Eduardo Pécora Junior, 2020. "Goal programming approach for political districting in Santa Catarina State: Brazil," Annals of Operations Research, Springer, vol. 287(1), pages 209-232, April.
    2. Matteo Cinelli & Valerio Ficcadenti & Jessica Riccioni, 2021. "The interconnectedness of the economic content in the speeches of the US Presidents," Annals of Operations Research, Springer, vol. 299(1), pages 593-615, April.
    3. Matteo Cinelli & Valerio Ficcadenti & Jessica Riccioni, 2020. "The interconnectedness of the economic content in the speeches of the US Presidents," Papers 2002.07880, arXiv.org.
    4. Ficcadenti, Valerio & Cerqueti, Roy & Ausloos, Marcel & Dhesi, Gurjeet, 2020. "Words ranking and Hirsch index for identifying the core of the hapaxes in political texts," Journal of Informetrics, Elsevier, vol. 14(3).

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