3 edition of Measuring aggregate productivity growth using plant-level data found in the catalog.
Measuring aggregate productivity growth using plant-level data
Amil Petrin
Published
2005
by National Bureau of Economic Research in Cambridge, Mass
.
Written in English
Edition Notes
Statement | Amil Petrin, James Levinsohn. |
Series | NBER working paper series -- working paper 11887., Working paper series (National Bureau of Economic Research) -- working paper no. 11887. |
Contributions | Levinsohn, James Alan., National Bureau of Economic Research. |
The Physical Object | |
---|---|
Pagination | 33, [6] p. ; |
Number of Pages | 33 |
ID Numbers | |
Open Library | OL17628546M |
OCLC/WorldCa | 62792545 |
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No-Nonsense Guide to Measuring ProductivityLook Beyond Direct a Multifactor ’t Sacrifice Function for e the e Apples and Apples. (more items). Request PDF | Measuring Aggregate Productivity Growth Using Plant-Level Data | Analysts of regional growth differences in the US tend to assume full spatial equilibrium (Glaeser et.
Amil Petrin & James Levinsohn, "Measuring aggregate productivity growth using plant-level data," RAND Journal of Economics, RAND Corporation, vol. 43(4), pages. Get this from a library. Measuring aggregate productivity growth using plant-level data.
[Amil Petrin; James Levinsohn; National Bureau of Economic Research.]. All these empirical studies use the sum of output (or employment) weighted rm/plant level TFP (or labor productivity) to measure the aggregate productivity of an industry. Indeed, even if a plant uses one aggregate measure, it still makes sense to use single-factor measures because they help identify the sources of aggregate productivity trends.
Using a panel data approach, the study presents a picture of the impacts of the influential components on the equilibrium and growth patterns of construction energy productivity.
Title: Measuring aggregate productivity growth using plant-level data Created Date: Z. Amil Petrin has written: 'Measuring aggregate productivity growth using plant-level data' -- subject(s): Econometric models, Industrial productivity Asked in .