On the Sensitivity of Aggregate Productivity Growth Rates to Noisy Measurement
AbstractAggregate rates of productivity growth are among the most closely watched indicators of economic performance. They are also among the most difficult to measure accurately. This paper explores the sensitivity of such rates to random measurement error using a simple generic model. The model allows for errors in the input and output components of the productivity ratio, with different variances, and for serial and cross correlation of the errors. The effects of the errors are considered from the point of view of growth rates themselves, changes in growth rates, and comparisons between rates in different countries.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by McMaster University in its series Social and Economic Dimensions of an Aging Population Research Papers with number 192.
Length: 24 pages
Date of creation: May 2007
Date of revision:
Contact details of provider:
Postal: 1280 Main Street West, Hamilton, Ontario, L8S 4M4
Phone: (905) 525-9140 ext. 22765
Fax: (905) 521-8232
Web page: http://www.mcmaster.ca/economics/
More information through EDIRC
productivity; growth rates; measurement error;
Find related papers by JEL classification:
- O47 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Measurement of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
This paper has been announced in the following NEP Reports:
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Johannes Van Biesebroeck, 2004.
"Robustness of Productivity Estimates,"
NBER Working Papers
10303, National Bureau of Economic Research, Inc.
- Michael C. Lovell, 1963. "Seasonal Adjustment of Economic Time Series and Multiple Regression," Cowles Foundation Discussion Papers 151, Cowles Foundation for Research in Economics, Yale University.
- Tanguay, Marc & Baldwin, John R. & Wong, Fanny & Maynard, Jean-Pierre & Yan, Beiling, 2005. "A Comparison of Canadian and U.S. Productivity Levels: An Exploration of Measurement Issues," Economic Analysis (EA) Research Paper Series 2005028e, Statistics Canada, Analytical Studies Branch.
- W. Erwin Diewert & Kevin J. Fox, 1999. "Can measurement error explain the productivity paradox?," Canadian Journal of Economics, Canadian Economics Association, vol. 32(2), pages 251-280, April.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ().
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.