Skip to main content
Log in

Large Tullock contests

  • Published:
Journal of Economics Aims and scope Submit manuscript

Abstract

We characterize the equilibrium effort function of a large Tullock contest game with heterogeneous agents under mild conditions on the contest success function and effort cost function. Later, writing the equilibrium total effort explicitly under a uniform type distribution, we identify the effort-maximizing large Tullock contest. It is shown that the contest designer needs to increase the curvature of the effective effort function, thereby encouraging high-type agents to exert even higher efforts, as the curvature of the effort cost function increases or the support of the type distribution gets narrower.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Notes

  1. See Skaperdas (1996) for an axiomatic foundation of Tullock contests.

  2. Note that if effective effort function is strictly concave, the same implication trivally follows.

  3. If \(\lim _{x \rightarrow \infty } H(x) \rightarrow \infty\), any agent of type t has a finite best response to any effort profile X. However, as shown in the current proof, such an assumption is not needed for the existence of an equilibrium effort profile.

  4. The optimal selection of a contest success function has been studied earlier in contest games with a finite number of players. For examples, see Dasgupta and Nti (1998) and Skaperdas (1996).

  5. In fact, we conducted our numerical analysis for a larger set of parameter values and observed that the results we report here are robust in that larger set. We choose to not report all for space limitations and reader friendliness.

  6. The reader can also observe in Fig. 1 the aforementioned result that for \(a_0 = 0\) and \(\theta >1\), the optimal \(\gamma ^*\) is at the middle point between 1 and \(\theta\).

References

  • Acemoglu D, Jensen MK (2013) Aggregate comparative statics. Games Econom Behav 81:27–49

    Article  Google Scholar 

  • Corchón LC (2007) The theory of contests: a survey. Rev Econ Design 11:69–100

    Article  Google Scholar 

  • Çağlayan D, Karagözoğlu E, Keskin K, Sağlam Ç (2022) Effort comparisons for a class of four-player tournaments. Soc Choice Welfare 59:119–137

    Article  Google Scholar 

  • Dasgupta A, Nti KO (1998) Designing an optimal contest. Eur J Polit Econ 14:587–603

    Article  Google Scholar 

  • Franke J, Kanzow C, Leininger W, Schwartz A (2013) Effort maximization in asymmetric contest games with heterogeneous contestants. Econ Theor 52:589–630

    Article  Google Scholar 

  • Gradwohl R, Kalai E (2021) Large games: robustness and stability. Ann Rev Econ 13:1–18

    Article  Google Scholar 

  • Konrad KA (2009) Strategy and dynamics in contests. Oxford University Press, New York

    Google Scholar 

  • Lahkar R, Mukherjee S (2022) Optimal large population Tullock contests. Working Paper

  • Lahkar R, Sultana R (2022) Affirmative action in large population contests. Working Paper

  • Moldovanu B, Sela A (2001) The optimal allocation of prizes in contests. Am Econ Rev 91:542–558

    Article  Google Scholar 

  • Nti KO (2004) Maximum efforts in contests with asymmetric valuations. Eur J Polit Econ 20:1059–1066

    Article  Google Scholar 

  • Olszewski W, Siegel R (2016) Large contests. Econometrica 84:835–854

    Article  Google Scholar 

  • Olszewski W, Siegel R (2020) Performance-maximizing large contests. Theor Econ 15:57–88

    Article  Google Scholar 

  • Schmalensee R (1981) Output and welfare implications of monopolistic third-degree price discrimination. Am Econ Rev 71:242–247

    Google Scholar 

  • Skaperdas S (1996) Contest success functions. Econ Theor 7:283–290

    Article  Google Scholar 

  • Szymanski S (2003) The economic design of sporting contests. J Econ Literat 41:1137–1187

    Article  Google Scholar 

  • Tullock G (1980) Efficient rent seeking. Buchanan JM, Tollison RD, Tullock G (eds) Toward a theory of the rent-seeking society. Texas A &M University Press, pp 97–112

  • Wang Z (2010) The optimal accuracy level in asymmetric contests. B.E. J Theor Econ 10:Article 13

Download references

Acknowledgements

We would like to thank an anonymous reviewer for helpful comments and suggestions.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kerim Keskin.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Doğan, S., Karagözoğlu, E., Keskin, K. et al. Large Tullock contests. J Econ 140, 169–179 (2023). https://doi.org/10.1007/s00712-023-00829-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00712-023-00829-8

Keywords

JEL Classification

Navigation