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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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    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).

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