Nonparametric Efficiency, Progress and Regress Measures For Panel Data: Methodological Aspects
Henry Tulkens and
Philippe Eeckaut
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Philippe Eeckaut: Université Lille 3 Charlesde-Gaulle
Chapter Chapter 17 in Public goods, environmental externalities and fiscal competition, 2006, pp 395-429 from Springer
Abstract:
Abstract This purely methodological paper deals with the role of time in nonparametric efficiency analysis. Using both FDH and DEA technologies, it first shows how each observation in a panel can be characterized in efficiency terms vis-à-vis three different kinds of frontiers: (i) ‘contemporaneous’, (ii) ‘sequential’, and (iii) ‘intertemporal’. These are then compared with window analysis. Next, frontier shifts ‘outward’ and ‘inward’, interpreted as progress or regress are considered for the two kinds of technologies, and computational methods are described in detail for evaluating such shifts in either case. These are also contrasted with what is measured by the ‘Malmquist’ productivity index. Finally, an alternative way of identifying progress and regress, independent of the frontier notion and referring instead to some ‘benchmark’ notion, is extended here to panel data.
Keywords: Data Envelopment Analysis; Panel Data; Reference Production; Malmquist Index; Free Disposal Hull (search for similar items in EconPapers)
Date: 2006
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Related works:
Journal Article: Non-parametric efficiency, progress and regress measures for panel data: Methodological aspects (1995) 
Working Paper: Non-parametric efficiency, progress and regress measures for panel data: Methodological aspects (1995)
Working Paper: Non-parametric efficiency, progress and regress measures for panel data: Methodological aspects (1995)
Working Paper: Non Parametric Efficiency, Progress and Regress Measures for Panel Data: Methodological Aspects (1993) 
Working Paper: Non-Parametric Efficiency, Progress and Regress Measures for Panel Data: Methodological Aspects (1993) 
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-0-387-25534-7_20
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DOI: 10.1007/978-0-387-25534-7_20
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