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Competing influence


  • Enrico Sette

    () (Bank of Italy, Economics, Research and International Relations area)


This paper investigates the incentives of experts competing to influence decision making. Competition for influence is shown to have an ambiguous effect on truthtelling incentives and a decision maker might be better off relying on one source of information only. This result has important implications for organizational design: the paper shows that delegation and favoritism can arise as a way to promote the correct flow of information within an organization. Delegation can lead to stronger truthtelling incentives than communication and it can be optimal when the importance of the decision is intermediate or high. Favoritism, consisting in biasing the competition for influence in favour of one expert, can further increase truthtelling incentives.

Suggested Citation

  • Enrico Sette, 2008. "Competing influence," Temi di discussione (Economic working papers) 693, Bank of Italy, Economic Research and International Relations Area.
  • Handle: RePEc:bdi:wptemi:td_693_08

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    References listed on IDEAS

    1. Gilles Celeux & Merrilee Hurn & Christian P, Robert, 1999. "Computational and Inferential Difficulties with Mixture Posterior Distributions," Working Papers 99-14, Center for Research in Economics and Statistics.
    2. Mervyn A. King & Jonathan I. Leape, 1987. "Asset Accumulation, Information, and the Life Cycle," NBER Working Papers 2392, National Bureau of Economic Research, Inc.
    3. Bollinger, Christopher R, 1998. "Measurement Error in the Current Population Survey: A Nonparametric Look," Journal of Labor Economics, University of Chicago Press, vol. 16(3), pages 576-594, July.
    4. Robert B. Barsky & Miles S. Kimball & F. Thomas Juster & Matthew D. Shapiro, 1995. "Preference Parameters and Behavioral Heterogeneity: An Experimental Approach in the Health and Retirement Survey," NBER Working Papers 5213, National Bureau of Economic Research, Inc.
    5. Charles F. Manski & Elie Tamer, 2002. "Inference on Regressions with Interval Data on a Regressor or Outcome," Econometrica, Econometric Society, vol. 70(2), pages 519-546, March.
    6. Amemiya, Yasuo, 1985. "Instrumental variable estimator for the nonlinear errors-in-variables model," Journal of Econometrics, Elsevier, vol. 28(3), pages 273-289, June.
    7. J. Dominitz & C. F. Manski, "undated". "Using expectations data to study subjective income expectations," Institute for Research on Poverty Discussion Papers 1050-94, University of Wisconsin Institute for Research on Poverty.
    8. Luigi Guiso & Monica Paiella, 2008. "Risk Aversion, Wealth, and Background Risk," Journal of the European Economic Association, MIT Press, vol. 6(6), pages 1109-1150, December.
    9. Bound, John & Krueger, Alan B, 1991. "The Extent of Measurement Error in Longitudinal Earnings Data: Do Two Wrongs Make a Right?," Journal of Labor Economics, University of Chicago Press, vol. 9(1), pages 1-24, January.
    10. Michael Haliassos & Christis Hassapis, 1998. "Borrowing Constraints, Portfolio Choice, and Precautionary Motives: Theoretical Predictions and Empirical Complications," CSEF Working Papers 11, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    11. Robert B. Barsky & F. Thomas Juster & Miles S. Kimball & Matthew D. Shapiro, 1997. "Preference Parameters and Behavioral Heterogeneity: An Experimental Approach in the Health and Retirement Study," The Quarterly Journal of Economics, Oxford University Press, vol. 112(2), pages 537-579.
    12. Li, Tong & Vuong, Quang, 1998. "Nonparametric Estimation of the Measurement Error Model Using Multiple Indicators," Journal of Multivariate Analysis, Elsevier, vol. 65(2), pages 139-165, May.
    13. Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde & Juergen Schupp & Gert Wagner, 2005. "Individual Risk Attitudes: New Evidence from a Large, Representative, Experimentally-Validated Survey," Working Papers 2096, The Field Experiments Website.
    14. Aprajit Mahajan, 2006. "Identification and Estimation of Regression Models with Misclassification," Econometrica, Econometric Society, vol. 74(3), pages 631-665, May.
    15. Hsiao, Cheng, 1989. "Consistent estimation for some nonlinear errors-in-variables models," Journal of Econometrics, Elsevier, vol. 41(1), pages 159-185, May.
    16. Kapteyn, A. & Teppa, F., 2002. "Subjective Measures of Risk Aversion and Portfolio Choice," Discussion Paper 2002-11, Tilburg University, Center for Economic Research.
    17. Michael Haliassos & Christis Hassapis, 1998. "Borrowing Constraints, Portfolio Choice, and Precautionary," Macroeconomics 9809008, EconWPA.
    18. Donkers, Bas & Melenberg, Bertrand & Van Soest, Arthur, 2001. "Estimating Risk Attitudes Using Lotteries: A Large Sample Approach," Journal of Risk and Uncertainty, Springer, vol. 22(2), pages 165-195, March.
    19. Lee, Lung-Fei & Porter, Robert H, 1984. "Switching Regression Models with Imperfect Sample Separation Information-With an Application on Cartel Stability," Econometrica, Econometric Society, vol. 52(2), pages 391-418, March.
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    More about this item


    reputation; competition; delegation; favoritism;

    JEL classification:

    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production

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