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Testing for (Efficiency) Catching-up

Author

Listed:
  • Daniel J. Henderson

    () (State University of New York at Binghamton)

  • Valentin Zelenyuk

    () (Kyiv Economics Institute and UPEG/EERC National University)

Abstract

We used advances in data envelopment analysis (DEA) techniques to examine efficiency scores and investigate the issue of convergence and divergence in a cross-country analysis. Specifically, we used bootstrapping techniques to examine a data set of 52 developed and developing countries. We found that when using the standard DEA model, some of the results were not robust. Further, we broke the sample into groups to examine club convergence. We found that efficiency scores were significantly different between groups and that there was some evidence of convergence of efficiency scores within each group.

Suggested Citation

  • Daniel J. Henderson & Valentin Zelenyuk, 2007. "Testing for (Efficiency) Catching-up," Southern Economic Journal, Southern Economic Association, vol. 73(4), pages 1003-1019, April.
  • Handle: RePEc:sej:ancoec:v:73:4:y:2007:p:1003-1019
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    More about this item

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development

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