IDEAS home Printed from https://ideas.repec.org/p/boc/bost10/3.html
   My bibliography  Save this paper

An Efficient Data Envelopment Analysis with Large Data Set in Stata

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://repec.org/bost10/choonjoolee(DEA)10Boston_Conf.ppt
    Download Restriction: no

    File URL: http://repec.org/bost10/choonjoolee_materials.zip
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Silvia González-de-Julián & Isabel Barrachina-Martínez & David Vivas-Consuelo & Álvaro Bonet-Pla & Ruth Usó-Talamantes, 2021. "Data Envelopment Analysis Applications on Primary Health Care Using Exogenous Variables and Health Outcomes," Sustainability, MDPI, vol. 13(3), pages 1-17, January.
    2. Mohsin, Muhammad & Taghizadeh-Hesary, Farhad & Iqbal, Nadeem & Saydaliev, Hayot Berk, 2022. "The role of technological progress and renewable energy deployment in green economic growth," Renewable Energy, Elsevier, vol. 190(C), pages 777-787.
    3. Castilho, Daniela & Fuinhas, José Alberto & Marques, António Cardoso, 2021. "The impacts of the tourism sector on the eco-efficiency of the Latin American and Caribbean countries," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    4. Ndubuisi, Gideon & Denis, Yuni & Urom, Christian & Abid, Ilyes, 2023. "Too big to be ignored: How energy poverty undermines productive efficiency," Energy Policy, Elsevier, vol. 181(C).
    5. Wang, Xiaodong & Han, Liang & Huang, Xing, 2020. "Bank market power and SME finance: Firm-bank evidence from European countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 64(C).
    6. Pillai N., Vijayamohanan, 2019. "Measuring Energy Efficiency: An Application of Data Envelopment Analysis to Power Sector in Kerala," MPRA Paper 101945, University Library of Munich, Germany.
    7. Lipeng Chen & Yang Yu & Amsalu K. Addis & Xiao Guo, 2022. "Empirical Assessment and Comparison of Educational Efficiency between Major Countries across the World," Sustainability, MDPI, vol. 14(7), pages 1-17, March.
    8. Pillai N., Vijayamohanan & AM, Narayanan, 2019. "Energy Efficiency: A Sectoral Analysis for Kerala," MPRA Paper 101424, University Library of Munich, Germany.
    9. Li, Hong Xian & Li, Yan & Jiang, Boya & Zhang, Limao & Wu, Xianguo & Lin, Jingyi, 2020. "Energy performance optimisation of building envelope retrofit through integrated orthogonal arrays with data envelopment analysis," Renewable Energy, Elsevier, vol. 149(C), pages 1414-1423.
    10. Sergi, S. Bruno & D’Aleo, Vittorio & Arbolino, Roberta & Carlucci, Fabio & Barilla, David & Ioppolo, Giuseppe, 2020. "Evaluation of the Italian transport infrastructures: A technical and economic efficiency analysis," Land Use Policy, Elsevier, vol. 99(C).
    11. Harald Tauchmann, 2011. "orderalpha: Nonparametric order-α efficiency analysis for Stata," German Stata Users' Group Meetings 2011 05, Stata Users Group.
    12. Han, Xue & Frey, Gregory E. & Geng, Yude & Cubbage, Frederick W. & Zhang, Zhaohui, 2018. "Reform and efficiency of state-owned forest enterprises in Northeast China as “social firms”," Journal of Forest Economics, Elsevier, vol. 32(C), pages 18-33.
    13. Choonjoo Lee, 2012. "Allocative Efficiency Analysis using DEA in Stata," SAN12 Stata Conference 1, Stata Users Group.
    14. Pierre Lesuisse, 2022. "Education, public expenditure and economic growth under the prism of performance," Working Papers hal-03685311, HAL.
    15. Biggeri, Mario & Ferrone, Lucia, 2022. "Child Sustainable Human Development Index (CSHDI): Monitoring progress for the future generation," Ecological Economics, Elsevier, vol. 192(C).

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:boc:bost10:3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/stataea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.