Measuring Productivity
Title | Measuring Productivity |
Publication Type | Working Paper |
Year of Publication | 2008 |
Authors | Del Gatto, M, Di Liberto, A, Petraglia, C |
Number | 2008_18 |
Keywords | dea, endogeneity, gmm, growth accounting, olley, productivity measurement, selection bias, simultaneity, solow residual, stochastic frontier analysis, tfp |
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 |
Citation Key | 1249 |
Attachment | Size |
---|---|
08-18_n.pdf | 634.31 KB |