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Essays on Nonparametric Identification and Estimation of All-Pay Auctions and Contests
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Essays on Nonparametric Identification and Estimation of All-Pay Auctions and Contests. |
| 개인저자 | Shakhgildyan, Ksenia. |
| 단체저자명 | University of California, Los Angeles. Economics 0246. |
| 발행사항 | [S.l.]: University of California, Los Angeles., 2019. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
| 형태사항 | 113 p. |
| 기본자료 저록 | Dissertations Abstracts International 81-05A. Dissertation Abstract International |
| ISBN | 9781687945020 |
| 학위논문주기 | Thesis (Ph.D.)--University of California, Los Angeles, 2019. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 81-05, Section: A.
Advisor: Matzkin, Rosa L. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 요약 | My dissertation contributes to the structural nonparametric econometrics of auctions and contests with incomplete information. It consists of three chapters.The first chapter investigates the identification and estimation of an all-pay auction where the object is allocated to the player with the highest bid, and every bidder pays his bid regardless of whether he wins or not. As a baseline model, I consider the setting, where one object is allocated among several risk-neutral participants with independent private values (IPV) |
| 일반주제명 | Economics. Economic theory. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
