Login | Register

Three Essays on Collusion in English Auctions: Theory and Application

Title:

Three Essays on Collusion in English Auctions: Theory and Application

Kaplan, Uma (2017) Three Essays on Collusion in English Auctions: Theory and Application. PhD thesis, Concordia University.

[thumbnail of Kaplan_PhD_S2018.pdf]
Preview
Text (application/pdf)
Kaplan_PhD_S2018.pdf - Accepted Version
542kB

Abstract

This thesis is composed of three chapters that examine topics related to collusion in English auctions. In the first chapter, we develop a fully nonparametric identification framework and a test of collusion in ascending bid auctions. Assuming efficient collusion, we show that the underlying distributions of values can be identified despite collusive behavior when there is at least one known competitive bidder. We propose a nonparametric estimation procedure for the distributions of values and a bootstrap test of the null hypothesis of competitive behavior against the alternative of collusion. In the second chapter, we adopt a copula-based approach to identification. We succeed in showing that joint distribution function of private valuations is identifiable under certain conditions. Finally, we propose a semiparametric strategy, based on Archimedean copulas, to identify and estimate the model primitives and analyze the dependence relation between bids in English auctions. One advantage this approach has is that it allows us to separate the estimation of the marginal distribution from the estimation of the joint distribution of underlying bidder values. The third chapter is an empirical study of the municipal GIC auctions, motivated by the theoretical frameworks developed in the first two chapters.

Divisions:Concordia University > Faculty of Arts and Science > Economics
Item Type:Thesis (PhD)
Authors:Kaplan, Uma
Institution:Concordia University
Degree Name:Ph. D.
Program:Economics
Date:8 November 2017
Thesis Supervisor(s):Papai, Szilvia
ID Code:983454
Deposited By: UMA KAPLAN
Deposited On:05 Jun 2018 14:48
Last Modified:05 Jun 2018 14:48
All items in Spectrum are protected by copyright, with all rights reserved. The use of items is governed by Spectrum's terms of access.

Repository Staff Only: item control page

Downloads per month over past year

Research related to the current document (at the CORE website)
- Research related to the current document (at the CORE website)
Back to top Back to top