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An Efficient Data Envelopment Analysis with Large Data Set in Stata

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  • Choonjoo Lee

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

Abstract

In this presentation, the author presents an approach to improve the computational efficiency of Data Envelopment Analysis(DEA) with large data set in Stata. Since the author written "dea" program in Stata was presented in the DC09 Stata conference, the author reviewed various comments and requests by the Stata users and updated the code significantly in terms of computation time and model variants. The presentation illustrates an approach to reduce the computation time and improve the accuracy of DEA results using the 5 inputs and 1 output data set of 365 DMUs.

Suggested Citation

  • Choonjoo Lee, 2010. "An Efficient Data Envelopment Analysis with Large Data Set in Stata," BOS10 Stata Conference 3, Stata Users Group.
  • Handle: RePEc:boc:bost10:3
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    File URL: http://repec.org/bost10/choonjoolee(DEA)10Boston_Conf.ppt
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    File URL: http://repec.org/bost10/choonjoolee_materials.zip
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    References listed on IDEAS

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    1. Manning, Willard G., 1998. "The logged dependent variable, heteroscedasticity, and the retransformation problem," Journal of Health Economics, Elsevier, vol. 17(3), pages 283-295, June.
    2. Manning, Willard G, et al, 1987. "Health Insurance and the Demand for Medical Care: Evidence from a Randomized Experiment," American Economic Review, American Economic Association, vol. 77(3), pages 251-277, June.
    3. Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
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    Cited by:

    1. Harald Tauchmann, 2011. "orderalpha: Nonparametric order-α efficiency analysis for Stata," German Stata Users' Group Meetings 2011 05, Stata Users Group.

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