.png){kind=icon}
Return
MEASURING PRODUCTIVITY
.png){kind=icon}
PRE
AI
DOI：10.1111/j.1467-6419.2009.00620.x.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
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, 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 and (iii) deterministic/econometric.
Keywords:
Aggregate productivity
Development accounting
Firm-level productivity
Frontier analysis
Omitted price bias
TFP
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
5
Papers:
1.2K
Citations:
5.9K
Organization
Cited Papers
ShareSaveProduction function estimation in Stata using inputs to control for unobservables.png)
STATA JOURNAL
OAAI
STATA JOURNALIF2.4
OAAIShareSaveAn Investigation into the Limitations of Low Temperature District Heating on Traditional Tenement Buildings in ScotlandEnergiesOAAI
EnergiesIF0
OAAIShareSaveShareSave
View more