Measuring Productivity

TitleMeasuring Productivity
Publication TypeWorking Paper
Year of Publication2008
AuthorsM. Del Gatto, A. Di Liberto, C. Petraglia
Keywordsdea, endogeneity, gmm, growth accounting, olley, productivity measurement, selection bias, simultaneity, solow residual, stochastic frontier analysis, tfp

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

Citation Key1249
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