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020 ▼a 9781687987914
035 ▼a (MiAaPQ)AAI27606869
035 ▼a (MiAaPQ)0098vireo2265Abreu
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 574
1001 ▼a Abreu, Francis M.
24510 ▼a Definition and Estimation of Intervention Effects in Complex Systems: Gender Equity in Academia.
260 ▼a [S.l.]: ▼b The Johns Hopkins University., ▼c 2016.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2016.
300 ▼a 150 p.
500 ▼a Source: Dissertations Abstracts International, Volume: 81-06, Section: A.
500 ▼a Advisor: Clements, Janice.
5021 ▼a Thesis (Ph.D.)--The Johns Hopkins University, 2016.
506 ▼a This item must not be sold to any third party vendors.
520 ▼a Even though gender equity in academia has been extensively studied, female faculty are still consistently hired at lower ranks, paid lower salaries and promoted less frequently than men.Previous work has focused on the individual faculty member as a study unit and, in most applications, on a single academic reward or representation outcome. However, existing approaches are insufficient to assess equity at institutional level for single-institution studies, from a causal inference perspective.How do differential gender practices in awarding salaries and ranks affect institutional measures of prestige and investment? In this dissertation we developed a simulation-based approach to estimate and conduct inference for gender equity outcomes defined at institution level and investigate how gender disparities along individual careers contribute to institutional measures.The statistical challenge in addressing these issues corresponds to the estimation of higher-level causal effects in complex systems for which only one observation of the outcomes of interest is available. The methods proposed combine faculty-level models that describe the academic career with a university-level, i.e., an aggregate-level, definition of causal effect.We applied these methods to simulated data based on an existing university. We found that the simulated institution does not deviate significantly from gender neutrality in terms of departures from the institution and total time in higher ranks for female faculty in 2005-2013. However, under a counterfactual gender-neutral scenario, the total compensation paid to female faculty over these 9 years would have been 2.8% higher (95% CI [1.2%, 4.4%]). The main determinant of this disparity is the significantly lower initial salaries for female faculty, with women earning 6.0% less on average at-hire than otherwise similar men.This analysis aims to complement individual-level gender equity studies with an institutional perspective, to aid in the achievement of a more gender-neutral structure in academia. Furthermore, the methods proposed have wide applications to other complex systems and designs, such as health agencies networks, pharmaceutical market dynamics and transportation systems.
590 ▼a School code: 0098.
650 4 ▼a Higher education.
650 4 ▼a Gender studies.
650 4 ▼a Biostatistics.
690 ▼a 0308
690 ▼a 0745
690 ▼a 0733
71020 ▼a The Johns Hopkins University. ▼b Biostatistics.
7730 ▼t Dissertations Abstracts International ▼g 81-06A.
773 ▼t Dissertation Abstract International
790 ▼a 0098
791 ▼a Ph.D.
792 ▼a 2016
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15494596 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 202002 ▼f 2020
990 ▼a ***1008102
991 ▼a E-BOOK