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

Author

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  • Marvin A. Titus

    (University of Maryland)

  • Adriana Vamosiu

    (University of San Diego School of Business)

  • Shannon Hayes Buenaflor

    (University of Maryland)

  • Casey Maliszewski Lukszo

    (Northern Virginia Community College)

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.

Suggested Citation

  • Marvin A. Titus & Adriana Vamosiu & Shannon Hayes Buenaflor & Casey Maliszewski Lukszo, 2021. "Persistent Cost Efficiency at Public Community Colleges in the US: A Stochastic Frontier Analysis," Research in Higher Education, Springer;Association for Institutional Research, vol. 62(8), pages 1168-1197, December.
    • Handle: RePEc:spr:reihed:v:62:y:2021:i:8:d:10.1007_s11162-021-09634-y
    DOI: 10.1007/s11162-021-09634-y
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