서브메뉴
검색
Essays on Admissions to Higher Education and Juvenile Criminal Justice
Essays on Admissions to Higher Education and Juvenile Criminal Justice
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211152752
- ISBN
- 9798383415092
- DDC
- 378
- 저자명
- Chen, Yu-Kuan.
- 서명/저자
- Essays on Admissions to Higher Education and Juvenile Criminal Justice
- 발행사항
- [Sl] : Rice University, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 129 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-02, Section: A.
- 주기사항
- Advisor: He, YingHua.
- 학위논문주기
- Thesis (Ph.D.)--Rice University, 2024.
- 초록/해제
- 요약This dissertation consists of two chapters studying problems faced by youths in two contexts that could be pivotal to their future: admissions to higher education and the juvenile criminal justice system. The underrepresentation of women in science, technology, engineering, and mathematics (STEM) fields has been studied extensively, and there have been calls for improving the gender balance in STEM fields through admission policies in higher education. In the first chapter, I estimate preferences for both applicants and programs using data from the centralized post-secondary admission system in Taiwan and explore how the preferences relate to the gender gap in STEM fields. To account for applicants' and programs' decision timing, I introduce a modified version of the truth-telling assumption for estimating preferences under a deferred-acceptance mechanism. On the program side, I find substantial heterogeneity across programs in gender preferences, reflected in their ranking of applicants. On the applicants' side, the largest difference between gender lies in male applicants' preference for programs where students are strong in math, and the preference is higher for those with lower math scores. Female applicants' emphasis on math is weaker and show less heterogeneity.To examine the potential impact of implementing minority reserves within STEM programs on gender balance, I conduct simulations of a counterfactual policy reserving seats for women in admissions to STEM programs. I find that while minority reserves could yield improvements in female representation within STEM programs, the magnitude of these changes are modest. The results also suggest that the limited efficacy of such policies may stem from the concentration of female applicants' preferences towards similar programs.In the second chapter (co-authored with Diego Amador), I study the effects of short-term detention on youths when they are arrested for the first time. Many youths accused of delinquent conduct are detained as their cases get processed by juvenile courts. Using a decade of detailed administrative data for all initial detention decisions made in Harris County, we find that these short-term detentions of low-risk youths lead to a sizeable increase in the likelihood of rearrests. We also find that these effects are concentrated on youths arrested for non-violent, less serious offenses and are unrelated to the actual amount of time spent in detention. To obtain our estimates, we implement the double/debiased machine learning estimator for matching, which relies on selection on observables as the key assumption. We go beyond traditional robustness checks by directly gauging the vulnerability of our results to violations of selection on observables, and sensitivity tests show that our estimates are robust to plausible levels of violations of this assumption.
- 일반주제명
- Higher education
- 일반주제명
- Criminology
- 키워드
- Gender gap
- 키워드
- Criminal justice
- 키워드
- Recidivism
- 기타저자
- Rice University Economics
- 기본자료저록
- Dissertations Abstracts International. 86-02A.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008250123s2024 us c eng d■001000017163780
■00520250211152752
■006m o d
■007cr#unu||||||||
■020 ▼a9798383415092
■035 ▼a(MiAaPQ)AAI31532661
■035 ▼a(MiAaPQ)0187rice5018Chen
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a378
■1001 ▼aChen, Yu-Kuan.
■24510▼aEssays on Admissions to Higher Education and Juvenile Criminal Justice
■260 ▼a[Sl]▼bRice University▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a129 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-02, Section: A.
■500 ▼aAdvisor: He, YingHua.
■5021 ▼aThesis (Ph.D.)--Rice University, 2024.
■520 ▼aThis dissertation consists of two chapters studying problems faced by youths in two contexts that could be pivotal to their future: admissions to higher education and the juvenile criminal justice system. The underrepresentation of women in science, technology, engineering, and mathematics (STEM) fields has been studied extensively, and there have been calls for improving the gender balance in STEM fields through admission policies in higher education. In the first chapter, I estimate preferences for both applicants and programs using data from the centralized post-secondary admission system in Taiwan and explore how the preferences relate to the gender gap in STEM fields. To account for applicants' and programs' decision timing, I introduce a modified version of the truth-telling assumption for estimating preferences under a deferred-acceptance mechanism. On the program side, I find substantial heterogeneity across programs in gender preferences, reflected in their ranking of applicants. On the applicants' side, the largest difference between gender lies in male applicants' preference for programs where students are strong in math, and the preference is higher for those with lower math scores. Female applicants' emphasis on math is weaker and show less heterogeneity.To examine the potential impact of implementing minority reserves within STEM programs on gender balance, I conduct simulations of a counterfactual policy reserving seats for women in admissions to STEM programs. I find that while minority reserves could yield improvements in female representation within STEM programs, the magnitude of these changes are modest. The results also suggest that the limited efficacy of such policies may stem from the concentration of female applicants' preferences towards similar programs.In the second chapter (co-authored with Diego Amador), I study the effects of short-term detention on youths when they are arrested for the first time. Many youths accused of delinquent conduct are detained as their cases get processed by juvenile courts. Using a decade of detailed administrative data for all initial detention decisions made in Harris County, we find that these short-term detentions of low-risk youths lead to a sizeable increase in the likelihood of rearrests. We also find that these effects are concentrated on youths arrested for non-violent, less serious offenses and are unrelated to the actual amount of time spent in detention. To obtain our estimates, we implement the double/debiased machine learning estimator for matching, which relies on selection on observables as the key assumption. We go beyond traditional robustness checks by directly gauging the vulnerability of our results to violations of selection on observables, and sensitivity tests show that our estimates are robust to plausible levels of violations of this assumption.
■590 ▼aSchool code: 0187.
■650 4▼aHigher education
■650 4▼aHigher education administration
■650 4▼aCriminology
■653 ▼aGender gap
■653 ▼aPreference heterogeneity
■653 ▼aJuvenile detention
■653 ▼aCriminal justice
■653 ▼aRecidivism
■690 ▼a0501
■690 ▼a0745
■690 ▼a0446
■690 ▼a0627
■71020▼aRice University▼bEconomics.
■7730 ▼tDissertations Abstracts International▼g86-02A.
■790 ▼a0187
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17163780▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
