IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Productivity and U.S. macroeconomic performance: interpreting the past and predicting the future with a two-sector real business cycle model

  • Peter N. Ireland
  • Scott Schuh

A two-sector real business cycle model, estimated with postwar U.S. data, identifies shocks to the levels and growth rates of total factor productivity in distinct consumption- and investment-goods- producing technologies. This model attributes most of the productivity slowdown of the 1970s to the consumption-goods sector; it suggests that a slowdown in the investment-goods sector occurred later and was much less persistent. Against this broader backdrop, the model interprets the more recent episode of robust investment and investment-specific technological change during the 1990s largely as a catch-up in levels that is unlikely to persist or be repeated anytime soon.

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.bostonfed.org/economic/wp/wp2006/wp0610.htm
Download Restriction: no

File URL: http://www.bostonfed.org/economic/wp/wp2006/wp0610.pdf
Download Restriction: no

Paper provided by Federal Reserve Bank of Boston in its series Working Papers with number 06-10.

as
in new window

Length:
Date of creation: 2006
Date of revision:
Handle: RePEc:fip:fedbwp:06-10
Contact details of provider: Postal: 600 Atlantic Avenue, Boston, Massachusetts 02210
Phone: 617-973-3397
Fax: 617-973-4221
Web page: http://www.bos.frb.org/
Email:


More information through EDIRC

Order Information: Email:


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. David N. DeJong & Beth F. Ingram & Charles H. Whiteman, 2000. "Keynesian impulses versus Solow residuals: identifying sources of business cycle fluctuations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(3), pages 311-329.
  2. Miles S. Kimball & John G. Fernald & Susanto Basu, 2006. "Are Technology Improvements Contractionary?," American Economic Review, American Economic Association, vol. 96(5), pages 1418-1448, December.
  3. V. V. Chari & Patrick J. Kehoe & Ellen R. McGrattan, 2007. "Are structural VARs with long-run restrictions useful in developing business cycle theory?," Staff Report 364, Federal Reserve Bank of Minneapolis.
  4. Edge, Rochelle M. & Laubach, Thomas & Williams, John C., 2007. "Learning and shifts in long-run productivity growth," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2421-2438, November.
  5. Robert J. Gordon, 2000. "Does the "New Economy" Measure Up to the Great Inventions of the Past?," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 49-74, Fall.
  6. James A. Kahn & Robert W. Rich, 2003. "Tracking the new economy: using growth theory to detect changes in trend productivity," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
  7. Galí, Jordi, 1996. "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?," CEPR Discussion Papers 1499, C.E.P.R. Discussion Papers.
  8. John G. Fernald, 2005. "Trend breaks, long-run restrictions, and the contractionary effects of technology improvements," Working Paper Series 2005-21, Federal Reserve Bank of San Francisco.
  9. Chang, Yongsung & Doh, Taeyoung & Schorfheide, Frank, 2005. "Non-stationary Hours in a DSGE Model," CEPR Discussion Papers 5232, C.E.P.R. Discussion Papers.
  10. Dale W. Jorgenson & Mun S. Ho & Kevin J. Stiroh, 2008. "A Retrospective Look at the U.S. Productivity Growth Resurgence," Journal of Economic Perspectives, American Economic Association, vol. 22(1), pages 3-24, Winter.
  11. Milton Marquis & Bharat Trehan, 2005. "On using relative prices to measure capital-specific technological progress," Working Paper Series 2005-02, Federal Reserve Bank of San Francisco.
  12. Ravi Bansal & Amir Yaron, 2004. "Risks for the Long Run: A Potential Resolution of Asset Pricing Puzzles," Journal of Finance, American Finance Association, vol. 59(4), pages 1481-1509, 08.
  13. Jordi Galí & Mark Gertler & J. David López-Salido, 2002. "Markups, gaps, and the welfare costs of business fluctuations," Banco de Espa�a Working Papers 0204, Banco de Espa�a.
  14. Michael R. Pakko, 2001. "What happens when the technology growth trend changes?: transition dynamics, capital growth and the "new economy"," Working Papers 2001-020, Federal Reserve Bank of St. Louis.
  15. Michele Boldrin & Lawrence J. Christiano & Jonas D. M. Fisher, 2000. "Habit persistence, asset returns and the business cycle," Staff Report 280, Federal Reserve Bank of Minneapolis.
  16. Hansen, Gary D., 1985. "Indivisible labor and the business cycle," Journal of Monetary Economics, Elsevier, vol. 16(3), pages 309-327, November.
  17. Yongsung Chang & Frank Schorfheide, 2003. "Labor shifts and economic fluctuations," Working Paper 03-07, Federal Reserve Bank of Richmond.
  18. Pakko Michael R., 2005. "Changing Technology Trends, Transition Dynamics, and Growth Accounting," The B.E. Journal of Macroeconomics, De Gruyter, vol. 5(1), pages 1-42, December.
  19. Christopher J. Erceg & Luca Guerrieri & Christopher Gust, 2005. "Can Long-Run Restrictions Identify Technology Shocks?," Journal of the European Economic Association, MIT Press, vol. 3(6), pages 1237-1278, December.
  20. Greenwood, J. & Hercowitz, Z. & Krusell, P., 1995. "Long-Run Implications of Investment-Specific Technological Change," UWO Department of Economics Working Papers 9510, University of Western Ontario, Department of Economics.
  21. Holland, Allison & Scott, Andrew, 1998. "The Determinants of UK Business Cycles," Economic Journal, Royal Economic Society, vol. 108(449), pages 1067-92, July.
  22. Karl Whelan, 2001. "A two-sector approach to modeling U.S. NIPA data," Finance and Economics Discussion Series 2001-04, Board of Governors of the Federal Reserve System (U.S.).
  23. Greenwood, J. & Hercowitz, Z. & Krusell, P., 1998. "The Role of Investment-Specific Technological Change in the Business Cycle," RCER Working Papers 449, University of Rochester - Center for Economic Research (RCER).
  24. Taubman, Paul & Wilkinson, Maurice, 1970. "User Cost, Capital Utilization and Investment Theory," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 11(2), pages 209-15, June.
  25. Klein, Paul, 2000. "Using the generalized Schur form to solve a multivariate linear rational expectations model," Journal of Economic Dynamics and Control, Elsevier, vol. 24(10), pages 1405-1423, September.
  26. Galí, Jordi, 2005. "Trends in Hours, Balanced Growth and the Role of Technology in the Business Cycle," CEPR Discussion Papers 4915, C.E.P.R. Discussion Papers.
  27. Diego Comin & Mark Gertler, 2006. "Medium-Term Business Cycles," American Economic Review, American Economic Association, vol. 96(3), pages 523-551, June.
  28. Huffman, Gregory W. & Wynne, Mark A., 1999. "The role of intratemporal adjustment costs in a multisector economy," Journal of Monetary Economics, Elsevier, vol. 43(2), pages 317-350, April.
  29. Luca Guerrieri & Dale W. Henderson & Jinill Kim, 2005. "Investment-specific and multifactor productivity in multi-sector open economies: data and analysis," International Finance Discussion Papers 828, Board of Governors of the Federal Reserve System (U.S.).
  30. Roberts John M., 2001. "Estimates of the Productivity Trend Using Time-Varying Parameter Techniques," The B.E. Journal of Macroeconomics, De Gruyter, vol. 1(1), pages 1-32, July.
  31. Cho, Seonghoon & Moreno, Antonio, 2006. "A Small-Sample Study of the New-Keynesian Macro Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(6), pages 1461-1481, September.
  32. Echevarria, Cristina, 1997. "Changes in Sectoral Composition Associated with Economic Growth," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 38(2), pages 431-52, May.
  33. repec:ucn:oapubs:10197/218 is not listed on IDEAS
  34. Whelan, Karl, 2002. "A Guide to U.S. Chain Aggregated NIPA Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 48(2), pages 217-33, June.
  35. Blanchard, Olivier Jean & Kahn, Charles M, 1980. "The Solution of Linear Difference Models under Rational Expectations," Econometrica, Econometric Society, vol. 48(5), pages 1305-11, July.
  36. Yongsung Chang & Frank Schorfheide, 2002. "Labor-Supply Shifts and Economic Fluctuations," Macroeconomics 0204005, EconWPA.
  37. Altug, Sumru, 1989. "Time-to-Build and Aggregate Fluctuations: Some New Evidence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 30(4), pages 889-920, November.
  38. Francis, Neville & Ramey, Valerie A., 2005. "Is the technology-driven real business cycle hypothesis dead? Shocks and aggregate fluctuations revisited," Journal of Monetary Economics, Elsevier, vol. 52(8), pages 1379-1399, November.
  39. Greenwood, Jeremy & Hercowitz, Zvi & Huffman, Gregory W, 1988. "Investment, Capacity Utilization, and the Real Business Cycle," American Economic Review, American Economic Association, vol. 78(3), pages 402-17, June.
  40. Richard Rogerson, 2010. "Indivisible Labor, Lotteries and Equilibrium," Levine's Working Paper Archive 250, David K. Levine.
  41. Hall, Robert E, 1997. "Macroeconomic Fluctuations and the Allocation of Time," Journal of Labor Economics, University of Chicago Press, vol. 15(1), pages S223-50, January.
  42. Robert G. King & Charles I. Plosser & James H. Stock & Mark W. Watson, 1991. "Stochastic trends and economic fluctuations," Working Paper Series, Macroeconomic Issues 91-4, Federal Reserve Bank of Chicago.
  43. Jonas D. M. Fisher, 2002. "Technology shocks matter," Working Paper Series WP-02-14, Federal Reserve Bank of Chicago.
  44. Parkin, Michael, 1988. "A method for determining whether parameters in aggregative models are structural," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 29(1), pages 215-252, January.
  45. Jonas D. M. Fisher, 2006. "The Dynamic Effects of Neutral and Investment-Specific Technology Shocks," Journal of Political Economy, University of Chicago Press, vol. 114(3), pages 413-451, June.
  46. Lindé, Jesper, 2005. "The Effects of Permanent Technology Shocks on Labour Productivity and Hours in the RBC Model," CEPR Discussion Papers 4827, C.E.P.R. Discussion Papers.
  47. Whelan, Karl, 2004. "New Evidence on Balanced Growth, Stochastic Trends, and Economic Fluctations," Research Technical Papers 7/RT/04, Central Bank of Ireland.
  48. Bart Hobijn, 2001. "Is equipment price deflation a statistical artifact?," Staff Reports 139, Federal Reserve Bank of New York.
  49. Neville Francis & Valerie A. Ramey, 2002. "Is the Technology-Driven Real Business Cycle Hypothesis Dead?," NBER Working Papers 8726, National Bureau of Economic Research, Inc.
  50. Jim Malley & Apostolis Philippopoulos & Ulrich Woitek, 2005. "Electoral Uncertainty, Fiscal Policy and Macroeconomic Fluctuations," CESifo Working Paper Series 1593, CESifo Group Munich.
  51. Lawrence J. Christiano & Martin Eichenbaum & Robert Vigfusson, 2003. "What Happens After a Technology Shock?," NBER Working Papers 9819, National Bureau of Economic Research, Inc.
  52. Bencivenga, Valerie R, 1992. "An Econometric Study of Hours and Output Variation with Preference Shocks," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 33(2), pages 449-71, May.
  53. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-70, November.
  54. L. Wade, 1988. "Review," Public Choice, Springer, vol. 58(1), pages 99-100, July.
  55. Marianne Baxter & Robert G. King, 1991. "Productive externalities and business cycles," Discussion Paper / Institute for Empirical Macroeconomics 53, Federal Reserve Bank of Minneapolis.
  56. Casey B. Mulligan, 2002. "A Century of Labor-Leisure Distortions," NBER Working Papers 8774, National Bureau of Economic Research, Inc.
  57. Malley, Jim & Philippopoulos, Apostolis & Woitek, Ulrich, 2007. "Electoral uncertainty, fiscal policy and macroeconomic fluctuations," Journal of Economic Dynamics and Control, Elsevier, vol. 31(3), pages 1051-1080, March.
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:fip:fedbwp:06-10. 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: (Catherine Spozio)

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.