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Examining degree production and financial context at public master’s colleges and universities in the United States: a distance function approach
Tertiary Education and Management Pub Date : 2019-10-03 , DOI: 10.1007/s11233-019-09049-6
Marvin A. Titus

Using an output distance function as an analytic framework, stochastic frontier analysis (SFA), and a generalized true random effects (GTRE) model, this study examines the financial context of bachelor’s degree production efficiency among public master’s colleges and universities (MCUs) in the United States. Employing a GTRE model, degree production inefficiency is decomposed into transient (short-run) and persistent (long-run) components. This investigation finds that bachelor’s degree production is positively and non-linearly related to doctoral degree production. Persistent efficiency is positively related to tuition revenue, state appropriations, and Pell grant revenue and negatively related to federal grant and contract revenue. This study finds that bachelor’s degree production efficiency scores that take into account the financial context of public MCUs should be considered as “pure” efficiency scores, which differ from the “technical” efficiency scores that don’t adjust for the financial context. Using efficiency scores, this research allows for the ranking of public MCUs, which may be used to further identify best management practices.

中文翻译:

考察美国公立硕士院校的学位产出和财务状况:一种距离函数方法

本研究使用输出距离函数作为分析框架、随机前沿分析 (SFA) 和广义真随机效应 (GTRE) 模型,研究了美国公立硕士院校 (MCU) 的学士学位生产效率的财务背景。美国。采用 GTRE 模型,学位生产效率低下被分解为瞬态(短期)和持久(长期)组件。本次调查发现,学士学位产出与博士学位产出呈正非线性相关。持续效率与学费收入、州拨款和佩尔拨款收入呈正相关,与联邦拨款和合同收入呈负相关。本研究发现,考虑到公共 MCU 财务背景的学士学位生产效率分数应被视为“纯”效率分数,这与未针对财务背景进行调整的“技术”效率分数不同。使用效率得分,这项研究允许对公共 MCU 进行排名,这可用于进一步确定最佳管理实践。
更新日期:2019-10-03
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