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Measuring efficiency in the presence of head-to-head competition

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  • Thomas Sexton
  • Herbert Lewis

Abstract

We develop a new DEA model that measures organizational efficiency in the presence of head-to-head competition. Our model differs from existing DEA models that ignore competition (or any other form of interaction) among the organizations under analysis. The model assumes that organizations deploy inputs for the explicit purpose of increasing its own outputs while reducing the outputs of its competitors. We apply this model to the 2002, 2004, and 2006 political campaigns in New York State for the US. House of Representatives in which candidates spent money to increase the number of votes that they received and decrease the number of votes that their opponents received. We show that campaign inefficiency can alter the outcome of an election. Specifically, a loser would have won in six of the 57 races had he or she been efficient. We also show that incumbents are more likely to spend inefficiently than are challengers. Overall, inefficiency accounts for less than 5% of campaign funding but a loss of about 9% in votes received. We find evidence that campaign efficiency has increased since the passage of the Bipartisan Campaign Reform Act of 2002, known widely as the McCain-Feingold Act. Copyright Springer Science+Business Media, LLC 2012

Suggested Citation

  • Thomas Sexton & Herbert Lewis, 2012. "Measuring efficiency in the presence of head-to-head competition," Journal of Productivity Analysis, Springer, vol. 38(2), pages 183-197, October.
  • Handle: RePEc:kap:jproda:v:38:y:2012:i:2:p:183-197
    DOI: 10.1007/s11123-011-0243-1
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    2. Thanasis Bouzidis & Giannis Karagiannis, 2022. "Extending the Zero-Sum Gains Data Envelopment Analysis Model," Discussion Paper Series 2022_06, Department of Economics, University of Macedonia, revised Aug 2022.

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    More about this item

    Keywords

    Data envelopment analysis; Head-to-head competition; Political campaigns; C61; D72; Q2;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation

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