Abstract:We study a contest with multiple, nonidentical prizes. Participants are privately informed about a parameter (ability) affecting their costs of effort. The contestant with the highest effort wins the first prize, the contestant with the second-highest effort wins the second prize, and so on until all the prizes are allocated. The contest's designer maximizes expected effort. When cost functions are linear or concave in effort, it is optimal to allocate the entire prize sum to a single "first" prize. When cost … Show more
“…6 It is well known that affine transformations of expected profits may allow for other interpretations of the asymmetries between players (for example, differences in talent or ability). 7 This objective function is widely employed in the literature on contest design, see e.g., Gradstein and Konrad (1999) and Moldovanu and Sela (2001).…”
Section: Contest Designermentioning
confidence: 99%
“…1 Much recent work has focused on aspects of contest design, including variations in discriminatory power (Dasgupta and Nti 1998), simultaneous versus sequential (multi-stage) contests (Gradstein and Konrad 1999) and the number of prizes (Moldovanu and Sela 2001).…”
“…6 It is well known that affine transformations of expected profits may allow for other interpretations of the asymmetries between players (for example, differences in talent or ability). 7 This objective function is widely employed in the literature on contest design, see e.g., Gradstein and Konrad (1999) and Moldovanu and Sela (2001).…”
Section: Contest Designermentioning
confidence: 99%
“…1 Much recent work has focused on aspects of contest design, including variations in discriminatory power (Dasgupta and Nti 1998), simultaneous versus sequential (multi-stage) contests (Gradstein and Konrad 1999) and the number of prizes (Moldovanu and Sela 2001).…”
“…Another example of a double objective may be the regulation of two environmental targets, with one target being controlled by target pollutant permit market, and another target currently being unregulated-for example, emissions of CO 2 and a basket of other greenhouse gases. In any case, the secondary objective involves maximization of firms' aggregate activities, expenditures, or efforts (for a similar objective see for example Moldovanu and Sela 2001).…”
Section: The Regulator's Secondary Objectivementioning
The initial allocation of pollution permits is an important aspect of emissions trading schemes. We generalize the analysis of Böhringer and Lange (2005, Eur Econ Rev 49(8): 2041–2055) to initial allocation mechanisms that are based on inter-firm relative performance comparisons (including grandfathering and auctions, as well as novel mechanisms). We show that using firms’ historical output for allocating permits is never optimal in a dynamic permit market setting, while using firms’ historical emissions is optimal only in closed trading systems and only for a narrow class of allocation mechanisms. Instead, it is possible to achieve social optimality by allocating permits based only on an external factor, which is independent of output and emissions. We then outline sufficient conditions for a socially optimal relative performance mechanism
“…35 The following proposition gives the equilibrium properties of the all-pay auction in the SIPV model. 30 See, e.g., Che and Gale (1998a) and Moldovanu and Sela (2001). 31 See Matthews (1983) and Laffont and Robert (1996), respectively.…”
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.