Diversification and Information in Contests

Lemus, Jorge; Temnyalov, Emil

doi:10.2139/ssrn.4121082

SSRN Journal

2022

DOI: 10.2139/ssrn.4121082

|View full text |Cite

Diversification and Information in Contests

Jorge Lemus

Emil Temnyalov

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

(1 citation statement)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…). 2Lemus and Temnyalov (2021) characterize the optimal disclosure of information about the technologies in Tullock contest, referring to the principal as being risk averse.…”

mentioning

confidence: 99%

Disclosure policies in all‐pay auctions with bid caps and stochastic entry: The impact of risk aversion

Wang

Liu

2023

Bulletin of Econ Res

View full text Add to dashboard Cite

We investigate how risk aversion affects the organizer's disclosing the actual number of bidders in an all‐pay auction with an exogenous bid cap and stochastic entry. With an exogenous probability of participation, the organizer prefers fully concealing the number of participating bidders when bidders are risk neutral. However, this result does not hold with risk aversion. Specifically, whether the organizer prefers fully concealing or fully revealing information depends on the number of potential bidders, the probability of participation, and the size of bid caps. A special case of endogenous entry shows that the organizer's preference is similar to the risk‐neutral case.

show abstract

“…). 2Lemus and Temnyalov (2021) characterize the optimal disclosure of information about the technologies in Tullock contest, referring to the principal as being risk averse.…”

mentioning

confidence: 99%

Disclosure policies in all‐pay auctions with bid caps and stochastic entry: The impact of risk aversion

Wang

Liu

2023

Bulletin of Econ Res

View full text Add to dashboard Cite

show abstract

Optimal contest design: Tuning the heat

Letina

Liu

Netzer

2023

Journal of Economic Theory

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Diversification and Information in Contests

Cited by 2 publications

References 35 publications

Disclosure policies in all‐pay auctions with bid caps and stochastic entry: The impact of risk aversion

Disclosure policies in all‐pay auctions with bid caps and stochastic entry: The impact of risk aversion

Optimal contest design: Tuning the heat

Contact Info

Product

Resources

About