All-pay auctions with affiliated binary signals
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DOI: 10.1016/j.jet.2018.10.010
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Citations
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Cited by:
- Shanglyu Deng & Hanming Fang & Qiang Fu & Zenan Wu, 2023.
"Information Favoritism and Scoring Bias in Contests,"
PIER Working Paper Archive
23-002, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Shanglyu Deng & Hanming Fang & Qiang Fu & Zenan Wu, 2023. "Information Favoritism and Scoring Bias in Contests," NBER Working Papers 31036, National Bureau of Economic Research, Inc.
- Bo Chen & Marco Serena & Zijia Wang, 2023. "Disclosure Policies in All-pay Auctions with Affiliation," Working Papers tax-mpg-rps-2023-05, Max Planck Institute for Tax Law and Public Finance.
- Chen, Zhuoqiong, 2021. "Optimal information exchange in contests," Journal of Mathematical Economics, Elsevier, vol. 96(C).
- Zhuoqiong Chen, 2021. "All-pay auctions with private signals about opponents’ values," Review of Economic Design, Springer;Society for Economic Design, vol. 25(1), pages 33-64, June.
- Anastasia Antsygina & Mariya Teteryatnikova, 2023. "Optimal information disclosure in contests with stochastic prize valuations," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 75(3), pages 743-780, April.
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More about this item
Keywords
All-pay auctions; War of attrition; Common values; Affiliated signals;All these keywords.
JEL classification:
- D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
- D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
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