Estimates of the Productivity Trend Using Time-Varying Parameter Techniques
AbstractOver the 1995-to-2000 period, U.S. productivity growth moved up to rates not seen in several decades. In this paper, I use time-varying parameter techniques to isolate trend from cyclical movements in productivity and to estimate the trend rate of productivity growth. My estimates suggest that trend productivity growth moved up from around 1-1/2 percent in the period from the early 1970s to the mid 1990s to about 2-1/2 percent by the final observation used in this paper, the first quarter of 2001. I also estimate the trend rate of multifactor productivity growth, and find that it has also moved up -- to 1 percent by the end of the sample -- but the pick-up is not as great as for labor productivity, with the difference largely the result of increased capital accumulation. I also test whether the trend-cycle decomposition adopted in this paper can be rejected in favor of an alternative that allows the trend to affect the cycle, and, in contrast to other recent work, find that the trend-cycle model is not rejected.
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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by De Gruyter in its journal The B.E. Journal of Macroeconomics.
Volume (Year): 1 (2001)
Issue (Month): 1 (July)
Contact details of provider:
Web page: http://www.degruyter.com
Other versions of this item:
- John M. Roberts, 2001. "Estimates of the productivity trend using time-varying parameter techniques," Finance and Economics Discussion Series 2001-08, Board of Governors of the Federal Reserve System (U.S.).
- E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
- O40 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
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.:
- Stephen D. Oliner & Daniel E. Sichel, 2000.
"The resurgence of growth in the late 1990s: is information technology the story?,"
Finance and Economics Discussion Series
2000-20, Board of Governors of the Federal Reserve System (U.S.).
- Stephen D. Oliner & Daniel E. Sichel, 2000. "The resurgence of growth in the late 1990s: is information technology the story?," Proceedings, Federal Reserve Bank of San Francisco.
- Stephen D. Oliner & Daniel E. Sichel, 2000. "The Resurgence of Growth in the Late 1990s: Is Information Technology the Story?," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 3-22, Fall.
- Kuttner, Kenneth N, 1994. "Estimating Potential Output as a Latent Variable," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 361-68, July.
- Clark, Peter K, 1987. "The Cyclical Component of U.S. Economic Activity," The Quarterly Journal of Economics, MIT Press, vol. 102(4), pages 797-814, November.
- Watson, Mark W., 1986. "Univariate detrending methods with stochastic trends," Journal of Monetary Economics, Elsevier, vol. 18(1), pages 49-75, July.
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page. reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Peter Golla).
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.