• DocumentCode
    3090495
  • Title

    Parametric and non-parametric methods of measuring departmental performance: An application to higher education

  • Author

    Lei Chen

  • Author_Institution
    Manuf. Ind. Dev. Res. Center on Wuhan City Circle, Jianghan Univ., Wuhan, China
  • fYear
    2013
  • fDate
    17-19 July 2013
  • Firstpage
    786
  • Lastpage
    791
  • Abstract
    To evaluate the departmental performance in higher education system, we take an example of departments in a large public university in the United States. We include 19 departments for six consecutive academic years (2002-2008). Using both parametric distance function approach and non-parametric Data Envelopment Analysis approach, we estimate the technical efficiency for each department in each academic year. The result shows that social science departments on average are more efficient than natural science departments in terms of saving on input usage. We then estimate the marginal rate of substitution between inputs. We find that holding everything else constant, one faculty member´s contribution to the output production is approximately equivalent to that of four graduate assistants. Both parametric and non-parametric analyses provide us with reasonably consistent result.
  • Keywords
    data envelopment analysis; educational institutions; further education; United States; departmental performance measurement; higher education system; natural science departments; nonparametric data envelopment analysis approach; parametric distance function approach; public university; social science departments; substitution marginal rate; Educational institutions; Equations; Frequency modulation; Mathematical model; Production; Vectors; data envelopment analysis; distance function; higher education; performance evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Systems and Service Management (ICSSSM), 2013 10th International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4673-4434-0
  • Type

    conf

  • DOI
    10.1109/ICSSSM.2013.6602533
  • Filename
    6602533