Empirical surveys of frontier applications: a meta-review
Kristiaan Kerstens (),
Thyago Nepomuceno and
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Cinzia Daraio: Sapienza University [Rome]
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Thiscontributionisthefirstattempttosystematicallyreviewallempiricalsurveysthatsofarhavebeenmade available in the broad field of efficiency and productivity analysis using frontier estimation methodologies. We provide a systematic bibliometric review on the many empirical surveys in the field of efficiency and productivity analysis, the most relevant concepts, areas, overlaps, and potentials to explore from its introduction to the most recent surveys. We combine the United Nations' International Standard Industrial Classification (ISIC)taxonomyfortheeconomicactivitywiththeJournalofEconomicLiterature(JEL)classificationsystem to classify the empirical surveys and to identify the current gaps in the literature. In addition to the most relevant/generic potential areas for applications (according to the United Nation's ISIC), this methodology provides a cluster analysis with the most relevant concepts that have been considered so far (according to the JEL codes). This overview brings an interesting guide for future work to develop the whole field.
Keywords: data envelopment analysis; stochastic frontier analysis; frontier estimation; empirical surveys (search for similar items in EconPapers)
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Published in International Transactions in Operational Research, Wiley, 2020, 27 (2), pp.709-738. ⟨10.1111/itor.12649⟩
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Working Paper: Empirical Surveys of Frontier Applications: A Meta-Review (2019)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02499297
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