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Essays on Inference in Non-Standard Situations
Essays on Inference in Non-Standard Situations
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211151005
- ISBN
- 9798382730004
- DDC
- 310
- 저자명
- Bei, Xinyue.
- 서명/저자
- Essays on Inference in Non-Standard Situations
- 발행사항
- [Sl] : Duke University, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 249 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 85-11, Section: B.
- 주기사항
- Advisor: Rosen, Adam.
- 학위논문주기
- Thesis (Ph.D.)--Duke University, 2024.
- 초록/해제
- 요약This dissertation consists of three essays on inference in non-standard scenarios. The first essay investigates inference on union bounds, prevalent in various empirical contexts such as relaxations of the difference-in-differences assumption and counterfactual analysis with partially identified structural parameters. I propose novel methods for both finite and infinite sets of bounds.The second essay presents a bootstrap-based profiling inference technique for subvectors in moment inequality models. By refining critical value calculation and simplifying non-linear moment conditions, this method offers improved computational efficiency upon existing methods.The third essay, conducted jointly with Dante Amengual and Enrique Sentana, extends score-type tests in likelihood contexts with a null information matrix greater than one. Our approach, leveraging higher-order derivatives, is asymptotically equivalent to likelihood ratio tests while requiring estimation only under the null.
- 일반주제명
- Statistics
- 기타저자
- Duke University Economics
- 기본자료저록
- Dissertations Abstracts International. 85-11B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■020 ▼a9798382730004
■035 ▼a(MiAaPQ)AAI30994556
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a310
■1001 ▼aBei, Xinyue.
■24510▼aEssays on Inference in Non-Standard Situations
■260 ▼a[Sl]▼bDuke University▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a249 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 85-11, Section: B.
■500 ▼aAdvisor: Rosen, Adam.
■5021 ▼aThesis (Ph.D.)--Duke University, 2024.
■520 ▼aThis dissertation consists of three essays on inference in non-standard scenarios. The first essay investigates inference on union bounds, prevalent in various empirical contexts such as relaxations of the difference-in-differences assumption and counterfactual analysis with partially identified structural parameters. I propose novel methods for both finite and infinite sets of bounds.The second essay presents a bootstrap-based profiling inference technique for subvectors in moment inequality models. By refining critical value calculation and simplifying non-linear moment conditions, this method offers improved computational efficiency upon existing methods.The third essay, conducted jointly with Dante Amengual and Enrique Sentana, extends score-type tests in likelihood contexts with a null information matrix greater than one. Our approach, leveraging higher-order derivatives, is asymptotically equivalent to likelihood ratio tests while requiring estimation only under the null.
■590 ▼aSchool code: 0066.
■650 4▼aStatistics
■653 ▼aLikelihood ratio tests
■653 ▼aComputational efficiency
■653 ▼aCritical value calculation
■653 ▼aCounterfactual analysis
■690 ▼a0501
■690 ▼a0463
■71020▼aDuke University▼bEconomics.
■7730 ▼tDissertations Abstracts International▼g85-11B.
■790 ▼a0066
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17160364▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
