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.
Titolo: | Measuring Productivity |
Autori: | |
Data di pubblicazione: | 2008 |
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. |
Handle: | http://hdl.handle.net/11564/708882 |
ISBN: | 9788884674944 |
Appare nelle tipologie: | 2.1 Contributo in volume (Capitolo o Saggio) |
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