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  5. Equilibrium existence and expected payoffs in all-pay auctions with constraints
 
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Equilibrium existence and expected payoffs in all-pay auctions with constraints

Author(s)
Pastine, Ivan  
Pastine, Tuvana  
Uri
http://hdl.handle.net/10197/24982
Date Issued
2022-05-30
Date Available
2023-11-13T15:56:49Z
Abstract
This paper introduces constraints on player choices in a broad class of all-pay auctions by allowing for upper bounds on players’ strategy sets. It proves the existence of equilibrium and derives simple closed-form formulae for players’ expected payoffs in any equilibrium. These formulae are straightforward to calculate in applications and do not require the derivation of the equilibrium or equilibria. This may be useful because: (i) In some applications players’ expected payoffs are the main item of interest. For example, one may be concerned about the effect of a policy on the market participants. In these cases the results can be used directly, bypassing the need for the full derivation of the equilibrium. (ii) In all-pay auctions, equilibrium is typically in mixed strategies. So in applications where the full characterization of the equilibrium is of interest, finding the players’ expected payoffs is a crucial first step in the derivation of the equilibrium.
Other Sponsorship
IReL Consortium
Type of Material
Journal Article
Publisher
Springer
Journal
Economic Theory
Volume
75
Start Page
983
End Page
1007
Copyright (Published Version)
2022 The Authors
Subjects

Rent seeking

Lobbying

Contest

Bid caps

Limits

Asymmetric contest

Classification
C72
D44
D72
DOI
10.1007/s00199-022-01433-5
Language
English
Status of Item
Peer reviewed
ISSN
0938-2259
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by/3.0/ie/
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Published version - Equilibrium Existance and Expected Payoffs in All Pay Contests with Constraints.pdf

Size

526.18 KB

Format

Adobe PDF

Checksum (MD5)

054909f5a67c8a0e72c6d3a0e9c11233

Owning collection
Economics Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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