Professor Damian Damianov damian.damianov@durham.ac.uk
Professor
We study the optimal design of mechanisms for the private provision of public goods in a setting in which donors compete for a prize of commonly known value. We discuss equilibrium bidding in mechanisms that promote both conditional cooperation and competition (i.e., the lottery and the all-pay auction with the lowest-bid payment rule) and rank their fund-raising performance vis-à-vis their standard (pay-your-own-bid) counterparts. The theoretically optimal mechanism in this model is the lowest-price all-pay auction—an auction in which the highest bidder wins the prize and all bidders pay the lowest bid. The highest amount for the public good is generated in the unique, symmetric, mixed-strategy equilibrium of this auction. In the laboratory, the theoretically optimal mechanism generates the highest level of donations with three bidders but not with two bidders. (JEL D44, D64)
Damianov, D., & Peeters, R. (2018). Prize-Based Mechanisms for Fund-Raising: Theory and Experiments. Economic Inquiry, 56(3), 1562-1584. https://doi.org/10.1111/ecin.12570
Journal Article Type | Article |
---|---|
Acceptance Date | Jan 20, 2018 |
Online Publication Date | Mar 9, 2018 |
Publication Date | Jul 1, 2018 |
Deposit Date | Jan 26, 2018 |
Publicly Available Date | Mar 9, 2019 |
Journal | Economic Inquiry |
Print ISSN | 0095-2583 |
Electronic ISSN | 1465-7295 |
Publisher | Wiley |
Peer Reviewed | Peer Reviewed |
Volume | 56 |
Issue | 3 |
Pages | 1562-1584 |
DOI | https://doi.org/10.1111/ecin.12570 |
Public URL | https://durham-repository.worktribe.com/output/1340641 |
Accepted Journal Article
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Copyright Statement
This is the accepted version of the following article: Damianov, D.S. & Peeters, R. (2018). Prize-Based Mechanisms for Fund-Raising: Theory and Experiments. Economic Inquiry, 56(3): 1562-1584, which has been published in final form at https://doi.org/10.1111/ecin.12570. This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.
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