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Measuring Productivity Author info | Abstract | Publisher info | Download info | Related research | Statistics Massimo Del Gatto ()
Adriana Di Liberto ()
C. Petraglia
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registered author(s):
Quantifying productivity is a conditio sine qua non for empirical analysis in a number of research fields. The identification of the measure that best fits with the specific goals of the analysis, as well as being data-driven, is currently complicated by the fact that an array of methodologies is available. This paper provides economic researchers with an up-to-date overview of issues and relevant solutions associated with this choice. Methods of productivity measurement are surveyed and classified according to three main criteria: i) macro/micro; ii) frontier/non-frontier; iii) deterministic/econometric
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Paper provided by Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia in its series Working Paper CRENoS with number
200818.
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Date of creation: 2008Date of revision:
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For technical questions regarding this item, or to correct its listing, contact: (Ernesto Batteta).
Keywords: productivity measurement ; TFP ; Solow residual ; endogeneity ; simultaneity ; selection bias ; Stochastic Frontier Analysis ; DEA ; Growth accounting ; GMM ; Olley ; Other versions of this item:
This paper has been announced in the following NEP Reports :
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