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Data Envelopment Analysis in Stata


  • Chonjoo Lee

    () (Defense Science and Technology Department, Korea National Defense University)

  • Ji Yong-Bae

    (Defense and Technology Department, Korea National Defense University)


In this presentation, we present a procedure and an illustrative application of a user-written Data Envelopment Analysis (DEA) program in Stata. DEA is a linear programming method for assessing the efficiency and productivity of units and a popular managerial tool for measuring performance of organizations. It has been used widely for assessing the efficiency of public and private sectors, such as banks, airlines, hospitals, universities, defense firms, and manufacturers. The DEA program in Stata will allow DEA users to easily access the Stata system and to conduct not only the standard optimization procedure but also more extended managerial analysis. The Mata programming, an extension of the DEA program code developed in the Stata programming language, will be discussed for the cases where the data capacity matters. We will also discuss the returns to scale options in DEA. Unfortunately, to date no DEA options are available in Stata, but an SFA model is available. The user-written DEA approach in Stata will provide some possible future extensions of Stata programming in DEA.

Suggested Citation

  • Chonjoo Lee & Ji Yong-Bae, 2009. "Data Envelopment Analysis in Stata," DC09 Stata Conference 4, Stata Users Group, revised 29 Dec 2009.
  • Handle: RePEc:boc:dcon09:4

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    References listed on IDEAS

    1. Wooldridge, Jeffrey M., 1999. "Distribution-free estimation of some nonlinear panel data models," Journal of Econometrics, Elsevier, vol. 90(1), pages 77-97, May.
    2. Blundell, Richard & Griffith, Rachel & Windmeijer, Frank, 2002. "Individual effects and dynamics in count data models," Journal of Econometrics, Elsevier, vol. 108(1), pages 113-131, May.
    3. Cameron,A. Colin & Trivedi,Pravin K., 2008. "Microeconometrics," Cambridge Books, Cambridge University Press, number 9787111235767, March.
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    1. O učinkovitosti javnega sektorja, predvsem v kulturi
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    1. Gosse A.G. Alserda & J.A. Bikker & Fieke (S.G.) van der Lecq, 2017. "X-efficiency and economies of scale in pension fund administration and investment," Working Papers 17-06, Utrecht School of Economics.

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