Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.779390
Title: Essays on the structural analysis of auction markets
Author: Marra, Marleen Renske
ISNI:       0000 0004 7965 0865
Awarding Body: UCL (University College London)
Current Institution: University College London (University of London)
Date of Award: 2019
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Abstract:
This thesis presents new results that make significant contributions to the structural analysis of auction markets. One chapter develops a methodology to study welfare and revenue impacts of fees in auction platforms. The impacts of fees are theoretically ambiguous as the platform faces a 'two-sided market' with network effects; increased seller entry raises its value to bidders, and vice versa. The chapter develops and solves a structural model with endogenous bidder and seller entry, seller selection, and costly listing inspection. It also exploits an original dataset with 15 months of wine auctions to study these issues. Relevant model primitives are shown to be identified in the auction platform model from observed variation in reserve prices, transaction prices, and the number of bidders. The proposed estimation strategy combines methods from the auction and discrete choice literatures. Model estimates reveal significant network effects, and it is shown with counterfactual policy simulations that fee structures that subsidize bidders make all parties better off. Implications for competition policy are discussed as well. Another chapter focuses on nonparametric identification in English auctions with absentee bidding, in which the number of bidders is unknown. The chapter exploits additional identifying variation from drop-out values of absentee bidders and develops a novel nonparametric identification approach based on the stochastic spacing of order statistics. In combination with a shape restriction the method delivers bounds on both the latent valuation distribution and expected consumer surplus. The value of the proposed method is highlighted by showing that it identifies informative bounds on policy-relevant model primitives in a sample of traditional English auctions collected from the online bidding portal of Sotheby's, which does not contain the number of bidders and their final bids. The thesis ends by providing directions for future research.
Supervisor: Chesher, A. ; Nesheim, L. Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.779390  DOI: Not available
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