2014
DOI: 10.1016/j.econlet.2014.05.018
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On optimal head starts in all-pay auctions

Abstract: People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors a… Show more

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Cited by 25 publications
(14 citation statements)
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“…-Complete information: In a complete information environment, Seel and Wasser (2014) show that a moderate level of heterogeneity is desirable to a designer who maximizes a weighted sum of the expected highest effort and the expected average effort.…”
Section: Arguments Against Completely Leveling the Playing Fieldmentioning
confidence: 99%
“…-Complete information: In a complete information environment, Seel and Wasser (2014) show that a moderate level of heterogeneity is desirable to a designer who maximizes a weighted sum of the expected highest effort and the expected average effort.…”
Section: Arguments Against Completely Leveling the Playing Fieldmentioning
confidence: 99%
“…4 Moreover, our study contributes to the recent interest in the analysis of head starts in different competitive situations, comp. Kirkegaard (2012), [23], Seel and Wasser (2014), [35], Li and Yu (2012), [28], Segev and Sela (2014), [36], Konrad (2002), [25], as well as Imhof and Kräkel (2016), [21]. However, all of the mentioned studies (as most of the literature) are either restricted to the two-player case or focus exclusively on only one of the two instruments.…”
Section: Introductionmentioning
confidence: 99%
“…This insight echoes the rationale for the research recognition programs, where young researchers obtain head-starts (Kirkegaard, 2012). Besides studies mentioned above, this line of the literature on favoritism also includes Nti (2004), Sahuguet (2006), Tsoulouhas et al (2007), Franke et al (2013), Seel & Wasser (2014), Franke et al (2018), and Zhu (2019) among many others. Unlike our paper which allows nonlinear favoritism rules, the favoritism in these existing studies focuses on linear instruments, including head start (an additive bias on a player's performance/effort) and handicap (a multiplicative bias on a player's performance/effort).…”
Section: Introductionmentioning
confidence: 57%