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Measuring Productivity

Author

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  • M. Del Gatto
  • A. Di Liberto
  • C. Petraglia

Abstract

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

Suggested Citation

  • M. Del Gatto & A. Di Liberto & C. Petraglia, 2008. "Measuring Productivity," Working Paper CRENoS 200818, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    • Handle: RePEc:cns:cnscwp:200818
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    Keywords

    growth accounting; gmm; olley; productivity measurement; tfp; solow residual; endogeneity; simultaneity; selection bias; stochastic frontier analysis; dea;
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