Name: Bidding in hierarchies
Creator: Konrad, Kai A.
Keywords: theory formation, Economics, Wettbewerbsregeln, Hierarchie, hierarchies, Contest, hierarchy, Wettbewerbstheorie, rules of competition, Contest,hierarchies,rent dissipation

descriptionPublicationkeyboard_double_arrow_right Article , Part of book or chapter of book , Other literature type , Research , Preprint 01 Jan 2003 English Publisher:Elsevier BVJournal:European Economic Review, volume 48, pages 1,301-1,308 (issn: 0014-2921,

Authors: Konrad, Kai A.;

doi: 10.1016/j.euroecorev.2003.12.010 , 10.2139/ssrn.504982 , 10.1007/978-3-540-79182-9_39

handle: 10419/51131

Bidding in hierarchies

- Summary
- Subjects
- Related research
  (1)
- Metrics

Abstract

This paper reconsiders the comparison between hierarchical contests and single-stage contests. A condition is given that characterizes whether and when the aggregate equilibrium payoff of contestants is higher in the single-stage contest, and when the single-stage contest is more likely to award the prize to the contestant who values it most highly. The outcome depends on inter- and intra-group heterogeneity, and is not driven by free-rider incentives.

Related Organizations

Max Planck Society
Germany
Social Science Research Center Berlin
Germany
Freie Universität Berlin
Germany
Centre for Economic Policy Research
United Kingdom
Institute for the Study of Labor
Germany

View all View all

Keywords

theory formation, Economics, Wettbewerbsregeln, Hierarchie, hierarchies, Contest, hierarchy, Wettbewerbstheorie, rules of competition, Contest,hierarchies,rent dissipation, D72, basic research, Theoriebildung, Preisbildung, D74, competition theory, Marktmechanismus, ddc:330, Wirtschaft, Economic Sectors, Wirtschaftssektoren, Wettbewerb, market mechanism, rent dissipation, formation of prices, competition, Grundlagenforschung, ddc: ddc:330, jel: jel:D74, jel: jel:D72

1 Research products, page 1 of 1

Eine experimentelle Studie zur strategischen Wahl von Entlohnungsschemata
2001IsAmongTopNSimilarDocuments

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	51
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average