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.
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Volume (Year): 73 (2007) Issue (Month): 4 (April) Pages: 1003–1019 Download reference. The following formats are available: HTML
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Find related papers by JEL classification: C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Statistical Decision Theory; Operations Research O1 - Economic Development, Technological Change, and Growth - - Economic Development
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