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Analysis of Intertemporal Efficiency Trends Using Rank Statistics With an Application Evaluating the Macro Economic Performance of OECD Nations

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  • P. Brockett
  • B. Golany
  • Shan Li

Abstract

This paper presents two applications of rank statistics to evaluate efficiency performance trends using productive efficiency measures derived through various Data Envelopment Analysis (DEA) models. The paper starts with a discussion of the difficulties in obtaining consistent ranks from DEA efficiency ratings. Next, a procedure is proposed to identify intertemporal performance trends using any one of several possible efficiency measures. Another procedure is then developed to test the stability over time of the rank positions of the analyzed units. For each statistical procedure, a small numerical example involving DEA efficiency measures is provided to illustrate the proposed technique. Finally, the new procedures are applied to data reflecting the macro-economic performance of 17 OECD nations in 1979–1988. The outcomes of the application are discussed and contrasted with previous research in this area. Copyright Kluwer Academic Publishers 1999

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  • P. Brockett & B. Golany & Shan Li, 1999. "Analysis of Intertemporal Efficiency Trends Using Rank Statistics With an Application Evaluating the Macro Economic Performance of OECD Nations," Journal of Productivity Analysis, Springer, vol. 11(2), pages 169-182, April.
    • Handle: RePEc:kap:jproda:v:11:y:1999:i:2:p:169-182
    DOI: 10.1023/A:1007788117626
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    2. Marinko Škare & Danijela Rabar, 2016. "Measuring Economic Growth Using Data Envelopment Analysis," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 18(42), pages 386-386, May.
    3. Lucía Isabel García-Cebrián & Fabíola Zambom-Ferraresi & Fernando Lera-López, 2018. "Efficiency in European football teams using WindowDEA: analysis and evolution," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 67(9), pages 2126-2148, November.
    4. Jorge Antunes & Goodness C. Aye & Rangan Gupta & Peter Wanke & Yong Tan, 2020. "Endogenous Long-Term Productivity Performance in Advanced Countries: A Novel Two-Dimensional Fuzzy-Monte Carlo Approach," Working Papers 2020111, University of Pretoria, Department of Economics.

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