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Malmquist Productivity Analysis using DEA frontier in Stata


  • Choonjoo Lee

    (Korea National Defense University)


In this presentation, the author presents a procedure and an illustrative application of a user-written Malmquist Productivity Analysis(MPA) using Data Envelopment Analysis (DEA) frontier in Stata. MPA measures the productivity changes for units between time periods. MPA has been used widely for assessing the productivity changes of public and private sectors, such as banks, airlines, hospitals, universities, defense firms, and manufacturers when the panel data are available. The MPA using DEA frontier in Stata will allow Stata users to conduct not only the stochastic approach for productivity analysis using SFA frontier but also non-stochastic approach using DEA frontier also suggested by the author. The user-written MPA approach in Stata will provide some possible future extensions of Stata programming in the productivity analysis.

Suggested Citation

  • Choonjoo Lee, 2011. "Malmquist Productivity Analysis using DEA frontier in Stata," CHI11 Stata Conference 21, Stata Users Group.
  • Handle: RePEc:boc:chic11:21

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    Cited by:

    1. Zhuyuan Li & Xiaolong Wang & Run Zheng & Sanggyun Na & Chang Liu, 2022. "Evaluation Analysis of the Operational Efficiency and Total Factor Productivity of Container Terminals in China," Sustainability, MDPI, vol. 14(20), pages 1-12, October.
    2. Balk, B.M. & Barbero, J. & Zofío, J.L., 2018. "A Total Factor Productivity Toolbox for MATLAB," ERIM Report Series Research in Management ERS-2018-004-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    3. José Solana‐Ibáñez & Manuel Caravaca‐Garratón, 2021. "Stakeholder engagement and corporate social reputation: The influence of exogenous factors on efficiency performance (stakeholder engagement and exogenous factors): Stakeholder engagement and exogenou," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 28(6), pages 1891-1905, November.
    4. Franz Haider & Robert Kunst & Franz Wirl, 2021. "Total factor productivity, its components and drivers," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(2), pages 283-327, May.
    5. Choonjoo Lee, 2012. "Allocative Efficiency Analysis using DEA in Stata," SAN12 Stata Conference 1, Stata Users Group.
    6. Price, Juan José & Gómez-Lobo, Andrés, 2021. "Baumol’s cost disease and urban transport services in Latin America," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 206-225.
    7. Abdoulaye Kané, 2022. "Measurement of total factor productivity: Evidence from French construction firms," EconomiX Working Papers 2022-9, University of Paris Nanterre, EconomiX.

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