IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this article

Measures of Technology and the Business Cycle

  • Annika Alexius

    (Uppsala University)

  • Mikael Carlsson

    (Uppsala University)

We analyze the technology shocks identified by two different structural VAR models and compare them with classical and refined Solow residuals. The measures of technology are reasonably highly correlated. Alternative identifying restrictions in the VARs, however, have different theoretical as well as empirical consequences for the technology shocks. King et al.'s (1991) model and the classical Solow residual capture a mixture of technology and labor supply shocks, whereas the technology shocks from Galí's model and the refined Solow residuals are robust to the latter phenomenon. Moreover, we find that the two robust measures of technology are negatively correlated with hours worked. © 2005 President and Fellows of Harvard College and the Massachusetts Institute of Technology.

If 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.

File URL: http://www.mitpressjournals.org/doi/pdf/10.1162/0034653053970285
File Function: link to full text
Download Restriction: Access to full text is restricted to subscribers.

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.

Article provided by MIT Press in its journal Review of Economics and Statistics.

Volume (Year): 87 (2005)
Issue (Month): 2 (May)
Pages: 299-307

as
in new window

Handle: RePEc:tpr:restat:v:87:y:2005:i:2:p:299-307
Contact details of provider: Web page: http://mitpress.mit.edu/journals/

Order Information: Web: http://mitpress.mit.edu/journal-home.tcl?issn=00346535

References listed on IDEAS
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.:

as in new window
  1. Craig Burnside & Martin Eichenbaum & Sergio Rebelo, 1995. "Capital Utilization and Returns to Scale," NBER Chapters, in: NBER Macroeconomics Annual 1995, Volume 10, pages 67-124 National Bureau of Economic Research, Inc.
  2. Susanto Basu & John G. Fernald, 2000. "Why is productivity procyclical? Why do we care?," Working Paper Series WP-00-11, Federal Reserve Bank of Chicago.
  3. Nelson, Charles R & Startz, Richard, 1990. "The Distribution of the Instrumental Variables Estimator and Its t-Ratio When the Instrument Is a Poor One," The Journal of Business, University of Chicago Press, vol. 63(1), pages S125-40, January.
  4. Alexius, Annika, 1999. "Sources of Real Exchange Rate Fluctuations in the Nordic Countries," Working Paper Series 90, Sveriges Riksbank (Central Bank of Sweden).
  5. Matthew D. Shapiro & Mark W. Watson, 1988. "Sources of Business Cycle Fluctuations," NBER Working Papers 2589, National Bureau of Economic Research, Inc.
  6. Danny Quah & Danny Quah & Shaun P. Vahey, 1995. "Measuring Core Inflation," CEP Discussion Papers dp0254, Centre for Economic Performance, LSE.
  7. Warne, A., 1993. "A Common Trends Model: Identification, Estimation and Inference," Papers 555, Stockholm - International Economic Studies.
  8. Olivier Jean Blanchard & Danny Quah, 1988. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," NBER Working Papers 2737, National Bureau of Economic Research, Inc.
  9. Susanto Basu & John Fernald & Miles Kimball, 2002. "Are Technology Improvements Contractionary?," Harvard Institute of Economic Research Working Papers 1986, Harvard - Institute of Economic Research.
  10. Quah, Danny, 1995. "Measuring Core Inflation," CEPR Discussion Papers 1153, C.E.P.R. Discussion Papers.
  11. Burnside, Craig, 1996. "Production function regressions, returns to scale, and externalities," Journal of Monetary Economics, Elsevier, vol. 37(2-3), pages 177-201, April.
  12. King, Robert G. & Plosser, Charles I. & Stock, James H. & Watson, Mark W., 1991. "Stochastic Trends and Economic Fluctuations," American Economic Review, American Economic Association, vol. 81(4), pages 819-40, September.
  13. Carlsson, Mikael, 2000. "Measures of Technology and the Short-Run Responses to Technology Shocks - Is the RBC-Model Consistent with Swedish Manufacturing Data?," Working Paper Series 2000:20, Uppsala University, Department of Economics.
  14. Ramey, Valerie A & Francis, Neville, 2002. "Is The Technology-Driven Real Business Cycle Hypothesis Dead? Shocks and Aggregate Fluctuations Revisted," University of California at San Diego, Economics Working Paper Series qt6x80k3nx, Department of Economics, UC San Diego.
  15. Hall, Robert E, 1988. "The Relation between Price and Marginal Cost in U.S. Industry," Journal of Political Economy, University of Chicago Press, vol. 96(5), pages 921-47, October.
  16. Dolado, Juan J. & Jimeno, Juan F., 1997. "The causes of Spanish unemployment: A structural VAR approach," European Economic Review, Elsevier, vol. 41(7), pages 1281-1307, July.
  17. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-80, November.
  18. D. W. Jorgenson & Z. Griliches, 1967. "The Explanation of Productivity Change," Review of Economic Studies, Oxford University Press, vol. 34(3), pages 249-283.
  19. Julio J. Rotemberg & Michael Woodford, 1993. "Dynamic General Equilibrium Models with Imperfectly Competitive Product Markets," NBER Working Papers 4502, National Bureau of Economic Research, Inc.
  20. Susanto Basu & Miles S. Kimball, 1997. "Cyclical Productivity with Unobserved Input Variation," NBER Working Papers 5915, National Bureau of Economic Research, Inc.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:tpr:restat:v:87:y:2005:i:2:p:299-307. See general 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: (Kristin Waites)

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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.