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.
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Notes
See Skaperdas (1996) for an axiomatic foundation of Tullock contests.
Note that if effective effort function is strictly concave, the same implication trivally follows.
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.
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.
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 \(\theta\).
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We would like to thank an anonymous reviewer for helpful comments and suggestions.
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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
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DOI: https://doi.org/10.1007/s00712-023-00829-8