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Three Essays on Causal Inference with Observational Data and the Sociology of Mental Health and Self-Harm- [electronic resource]
Three Essays on Causal Inference with Observational Data and the Sociology of Mental Health and Self-Harm- [electronic resource]
Detailed Information
- 자료유형
- 학위논문파일 국외
- 최종처리일시
- 20240214101918
- ISBN
- 9798380847650
- DDC
- 301
- 서명/저자
- Three Essays on Causal Inference with Observational Data and the Sociology of Mental Health and Self-Harm - [electronic resource]
- 발행사항
- [S.l.]: : Princeton University., 2023
- 발행사항
- Ann Arbor : : ProQuest Dissertations & Theses,, 2023
- 형태사항
- 1 online resource(254 p.)
- 주기사항
- Source: Dissertations Abstracts International, Volume: 85-05, Section: B.
- 주기사항
- Advisor: Stewart, Brandon M.
- 학위논문주기
- Thesis (Ph.D.)--Princeton University, 2023.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 초록/해제
- 요약The following essays focus on causal inference methods for answering questions related to the sociology of mental health and self-harm. They collectively help illustrate what I call an imperfectionist perspective on causal inference. On this view, we shift away from debating whether our causal estimators are biased and move toward carefully reasoning about the magnitude and direction of the bias. Chapter 2 (co-authored with Brandon Stewart) reviews instrumental variables (IV) analysis for causal inference and shows that an imperfectionist perspective calls into question the elevation of IV over selection-on-observables approaches. Chapter 3 applies an imperfectionist approach to studying suicide contagion with interrupted time series analysis. I provide evidence that fictional TV shows can produce imitation effects among certain subpopulations, showcasing a variety of tools to help us reason about the direction and magnitude of the bias in our treatment effect estimates. Chapter 4 analyzes a debate over the effects of digital technology use on adolescent well-being. This chapter demonstrates the limits of the imperfectionist approach: in some settings, multiple factors plausibly bias our estimates in different directions, making it difficult to reason about the bias and draw informative conclusions about the causal claims in question. By exploring this framework and its limits, this dissertation helps advance methodological practice and expand our knowledge about suicide and self-harm.
- 일반주제명
- Sociology.
- 일반주제명
- Public health.
- 일반주제명
- Statistics.
- 일반주제명
- Mental health.
- 키워드
- Causal inference
- 키워드
- Self-harm
- 키워드
- Well-being
- 기타저자
- Princeton University Sociology
- 기본자료저록
- Dissertations Abstracts International. 85-05B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520240214101918
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■020 ▼a9798380847650
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■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a301
■1001 ▼aFelton, Christopher Michael Lynch.
■24510▼aThree Essays on Causal Inference with Observational Data and the Sociology of Mental Health and Self-Harm▼h[electronic resource]
■260 ▼a[S.l.]:▼bPrinceton University. ▼c2023
■260 1▼aAnn Arbor :▼bProQuest Dissertations & Theses, ▼c2023
■300 ▼a1 online resource(254 p.)
■500 ▼aSource: Dissertations Abstracts International, Volume: 85-05, Section: B.
■500 ▼aAdvisor: Stewart, Brandon M.
■5021 ▼aThesis (Ph.D.)--Princeton University, 2023.
■506 ▼aThis item must not be sold to any third party vendors.
■520 ▼aThe following essays focus on causal inference methods for answering questions related to the sociology of mental health and self-harm. They collectively help illustrate what I call an imperfectionist perspective on causal inference. On this view, we shift away from debating whether our causal estimators are biased and move toward carefully reasoning about the magnitude and direction of the bias. Chapter 2 (co-authored with Brandon Stewart) reviews instrumental variables (IV) analysis for causal inference and shows that an imperfectionist perspective calls into question the elevation of IV over selection-on-observables approaches. Chapter 3 applies an imperfectionist approach to studying suicide contagion with interrupted time series analysis. I provide evidence that fictional TV shows can produce imitation effects among certain subpopulations, showcasing a variety of tools to help us reason about the direction and magnitude of the bias in our treatment effect estimates. Chapter 4 analyzes a debate over the effects of digital technology use on adolescent well-being. This chapter demonstrates the limits of the imperfectionist approach: in some settings, multiple factors plausibly bias our estimates in different directions, making it difficult to reason about the bias and draw informative conclusions about the causal claims in question. By exploring this framework and its limits, this dissertation helps advance methodological practice and expand our knowledge about suicide and self-harm.
■590 ▼aSchool code: 0181.
■650 4▼aSociology.
■650 4▼aPublic health.
■650 4▼aStatistics.
■650 4▼aMental health.
■653 ▼aCausal inference
■653 ▼aInstrumental variables
■653 ▼aInterrupted time series
■653 ▼aSelf-harm
■653 ▼aWell-being
■690 ▼a0626
■690 ▼a0573
■690 ▼a0463
■690 ▼a0347
■71020▼aPrinceton University▼bSociology.
■7730 ▼tDissertations Abstracts International▼g85-05B.
■773 ▼tDissertation Abstract International
■790 ▼a0181
■791 ▼aPh.D.
■792 ▼a2023
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16935322▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202402▼f2024
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