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qualitative and quantitative methods (Schmoch et al. 2010 ); the multidimensional non-radial data envelopment analysis (DEA) model and a nonradial Malmquist index put forward by Guan and Chen ( 2010 ); and robust nonparametric methods in efficiency analysis

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citations, e.g., co-citation, mapping, diffusion, data envelopment analysis, reference analysis. 496 Specifically describing: Ortega hypothesis; patents; comparisons of quantitative

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Measurement Using Two-Stage Data Envelopment Analysis in the Czech and Slovak Banking Sectors . Acta Oeconomica , 69 ( 3 ): 445 – 466 . 10

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Acta Oeconomica
Authors:
Jorge de Andrés-Sánchez
,
Ángel Belzunegui-Eraso
, and
Francesc Valls-Fonayet

out within the framework of the OECD countries with data from the year 2000. However, while they have used Data Envelopment Analysis (DEA) to measure public spending efficiency focused on Gini's index, we use Greene's (2008) econometric method. We

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. Paleckova , I. ( 2019 ): Cost Efficiency Measurement Using Two-Stage Data Envelopment Analysis in the Czech and Slovak Banking Sectors . Acta Oeconomica , 69 ( 3 ): 445 – 466

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but in practice it seems that indicators are assigned weights not always in a rationale manner. Nevertheless, a number of weighting techniques exits. Some of them are derived from statistical models (factor analysis, data envelopment analysis and

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