Bayesian Inference in Structural Second-Price Auctions

Bayesian Inference in Structural Second-Price Auctions

The aim of this thesis is to develop efficient and practically useful Bayesian methods for statistical inference in structural second-price auctions. The models are applied to a carefully collected coin auction dataset with bids and auction-specific characteristics from one thousand Internet auction...

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Bibliographic Details
Main Author: Wegmann, Bertil
Format: Doctoral Thesis
Language:English
Published: Stockholms universitet, Statistiska institutionen 2011
Subjects:
Asymmetry
Bid function approximation
Common values
Gamma model
Gaussian model
Markov Chain Monte Carlo
Private values
Variable selection
Internet auctions
Statistics
Statistik
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-57278
http://nbn-resolving.de/urn:isbn:978-91-7447-276-9

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-57278
http://nbn-resolving.de/urn:isbn:978-91-7447-276-9

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