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Asymmetric first-price auctions - A perturbation approach
Gadi Fibich
*
, Arieh Gavious
*
Corresponding author for this work
School of Mathematical Sciences
Ben-Gurion University of the Negev
Research output
:
Contribution to journal
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Article
›
peer-review
38
Scopus citations
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Keyphrases
Expected Profit
100%
Seller
100%
Bidders
100%
First-price Auction
100%
Explicit Approximations
100%
Perturbation Approach
100%
Numerical Methods
50%
Stochastic Dominance
50%
Distribution Function
50%
Perturbation Analysis
50%
Optimal Reserve Price
50%
Economics, Econometrics and Finance
Auction
100%
Price
100%
Expected Revenue
66%
Numerical Methods
33%
Mathematics
Asymmetric
100%
Stochastic Dominance
50%
Distribution Function
50%
Mathematical Method
50%
Earth and Planetary Sciences
Distribution Function
100%
Mathematical Method
100%