Dataset Information

Persistent Cost Efficiency at Public Community Colleges in the US: A Stochastic Frontier Analysis.

ABSTRACT: This study utilizes an extensive panel data set spanning 15 years (2004-2018) and 752 public community colleges to investigate operating costs and persistent cost efficiency at public community colleges in the United States. We employ a generalized true random effects (GTRE) regression model that takes into account spatial correlation of costs among community colleges, to estimate cost efficiency via stochastic frontier analysis (SFA). The results reveal a positive relationship between operating costs and associate degrees and certificates as well both human (part- and full-time faculty) and financial resources (local, state and federal funding and tuition revenue), controlling for other variables. Furthermore, with an average persistent (long-term) efficiency of 87%, few institutions are relatively cost inefficient. Moving forward, campus leaders and policy makers alike may consider yearly data and efficiency calculations to develop strategic plans and funding alternatives. With 40 percent of first-time students transferring at least once within six years and over half of those students transfer from a community college, future research may study cost efficiency of community colleges while accounting for student transfers as an output.

Supplementary information

The online version contains supplementary material available at 10.1007/s11162-021-09634-y.

SUBMITTER: Titus MA

PROVIDER: S-EPMC8032850 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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Persistent Cost Efficiency at Public Community Colleges in the US: A Stochastic Frontier Analysis.

Titus Marvin A MA Vamosiu Adriana A Buenaflor Shannon Hayes SH Lukszo Casey Maliszewski CM

Research in higher education 20210409 8

This study utilizes an extensive panel data set spanning 15 years (2004-2018) and 752 public community colleges to investigate operating costs and persistent cost efficiency at public community colleges in the United States. We employ a generalized true random effects (GTRE) regression model that takes into account spatial correlation of costs among community colleges, to estimate cost efficiency via stochastic frontier analysis (SFA). The results reveal a positive relationship between operating ...[more]

PMID: 33850342

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Project description:BackgroundMaximising the efficiency of national tuberculosis programmes is key to improving service coverage, outcomes, and progress towards End TB targets. We aimed to determine the overall efficiency of tuberculosis spending and investigate associated factors in 121 low-income and middle-income countries between 2010 and 2019.MethodsIn this data envelopment and stochastic frontier analysis, we used data from the WHO Global TB report series on tuberculosis spending as the input and treatment coverage as the output to estimate tuberculosis spending efficiency. We investigated associations between 25 independent variables and overall efficiency.FindingsWe estimated global tuberculosis spending efficiency to be between 73·8% (95% CI 71·2-76·3) and 87·7% (84·9-90·6) in 2019, depending on the analytical method used. This estimate suggests that existing global tuberculosis treatment coverage could be increased by between 12·3% (95% CI 9·4-15·1) and 26·2% (23·7-28·8) for the same amount of spending. Efficiency has improved over the study period, mainly since 2015, but a substantial difference of 70·7-72·1 percentage points between the most and least efficient countries still exists. We found a consistent significant association between efficiency and current health expenditure as a share of gross domestic product, out-of-pocket spending on health, and some Sustainable Development Goal (SDG) indicators such as universal health coverage.InterpretationTo improve efficiency, treatment coverage will need to be increased, particularly in the least efficient contexts where this might require additional spending. However, progress towards global End TB targets is slow even in the most efficient countries. Variables associated with TB spending efficiency suggest efficiency is complimented by commitments to improving health-care access that is free at the point of use and wider progress towards the SDGs. These findings support calls for additional investment in tuberculosis care.FundingNone.

Dataset Information

Persistent Cost Efficiency at Public Community Colleges in the US: A Stochastic Frontier Analysis.

Supplementary information

Publications

Persistent Cost Efficiency at Public Community Colleges in the US: A Stochastic Frontier Analysis.

Similar Datasets

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