Measuring Productivity

Massimo Del Gatto (), Adriana Di Liberto () and Carmelo Petraglia ()

Working Paper CRENoS from Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia

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

Keywords: productivity measurement; TFP; Solow residual; endogeneity; simultaneity; selection bias; Stochastic Frontier Analysis; DEA; Growth accounting; GMM; Olley (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ecm and nep-eff
Date: 2008
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Persistent link: http://EconPapers.repec.org/RePEc:cns:cnscwp:200818

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