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Productivity and U.S. Macroeconomic Performance: Interpreting the Past and Predicting the Future with a Two-Sector Real Business Cycle Model

  • Peter N. Ireland

    ()

    (Boston College)

  • Scott Schuh

    ()

    (Federal Reserve Bank of Boston)

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.

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Paper provided by Boston College Department of Economics in its series Boston College Working Papers in Economics with number 642.

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Date of creation: 01 Apr 2006
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Handle: RePEc:boc:bocoec:642
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  1. Chang, Yongsung & Schorfheide, Frank, 2003. "Labor-supply shifts and economic fluctuations," Journal of Monetary Economics, Elsevier, vol. 50(8), pages 1751-1768, November.
  2. Michele Boldrin & Lawrence J. Christiano & Jonas D. M. Fisher, 1999. "Habit persistence, asset returns and the business cycles," Working Paper Series WP-99-14, Federal Reserve Bank of Chicago.
  3. Gregory W. Huffman & Mark A. Wynne, 1995. "The role of intratemporal adjustment costs in a multi-sector economy," Working Papers 9508, Federal Reserve Bank of Dallas.
  4. James A. Kahn & Robert W. Rich, 2003. "Tracking the new economy: using growth theory to detect changes in trend productivity," Staff Reports 159, Federal Reserve Bank of New York.
  5. 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.
  6. Whelan, Karl, 2004. "New Evidence on Balanced Growth, Stochastic Trends, and Economic Fluctations," Research Technical Papers 7/RT/04, Central Bank of Ireland.
  7. 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.
  8. Hansen, Gary D., 1985. "Indivisible labor and the business cycle," Journal of Monetary Economics, Elsevier, vol. 16(3), pages 309-327, November.
  9. Rochelle M. Edge & Thomas Laubach & John C. Williams, 2004. "Learning and shifts in long-run productivity growth," Finance and Economics Discussion Series 2004-21, Board of Governors of the Federal Reserve System (U.S.).
  10. 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.
  11. Greenwood, Jeremy & Hercowitz, Zvi & Krusell, Per, 1997. "Long-Run Implications of Investment-Specific Technological Change," American Economic Review, American Economic Association, vol. 87(3), pages 342-62, June.
  12. Rogerson, Richard, 1988. "Indivisible labor, lotteries and equilibrium," Journal of Monetary Economics, Elsevier, vol. 21(1), pages 3-16, January.
  13. Robert J. Gordon, 2000. "Does the "New Economy" Measure up to the Great Inventions of the Past?," NBER Working Papers 7833, National Bureau of Economic Research, Inc.
  14. 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.
  15. Jonas Fisher, 2004. "Technology Shocks Matter," Econometric Society 2004 North American Winter Meetings 14, Econometric Society.
  16. 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.).
  17. Jordi Galí & Mark Gertler & J. David López-Salido, 2003. "Markups, Gaps, and the Welfare Costs of Business Fluctuations," Working Papers 45, Barcelona Graduate School of Economics.
  18. 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.
  19. V. V. Chari & Patrick J. Kehoe & Ellen R. McGrattan, 2008. "Are Structural VARs with Long-Run Restrictions Useful in Developing Business Cycle Theory?," NBER Working Papers 14430, National Bureau of Economic Research, Inc.
  20. 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.
  21. 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.
  22. Fernald, John, 2006. "Trend Breaks, Long-Run Restrictions and the Contractionary Effects of Technology Improvements," CEPR Discussion Papers 5631, C.E.P.R. Discussion Papers.
  23. 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.
  24. Lindé, Jesper, 2004. "The Effects of Permanent Technology Shocks on Labor Productivity and Hours in the RBC model," Working Paper Series 161, Sveriges Riksbank (Central Bank of Sweden).
  25. Comin, D. & Gertler, M., 2003. "Medium Term Business Cycles," Working Papers 03-05, C.V. Starr Center for Applied Economics, New York University.
  26. Luca Guerrieri & Dale Henderson, 2005. "Investment-Specific and Multifactor Productivity in Multi-Sector Open Economies:Data and Analysis," Computing in Economics and Finance 2005 143, Society for Computational Economics.
  27. Dale W. Jorgenson & Mun S. Ho & Kevin J. Stiroh, 2007. "A retrospective look at the U.S. productivity growth resurgence," Staff Reports 277, Federal Reserve Bank of New York.
  28. Yongsung Chang & Taeyoung Doh & Frank Schorfheide, 2007. "Non-stationary Hours in a DSGE Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(6), pages 1357-1373, 09.
  29. Marquis, Milton H. & Trehan, Bharat, 2008. "On using relative prices to measure capital-specific technological progress," Journal of Macroeconomics, Elsevier, vol. 30(4), pages 1390-1406, December.
  30. Yongsung Chang & Frank Schorfheide, 2003. "Labor shifts and economic fluctuations," Working Paper 03-07, Federal Reserve Bank of Richmond.
  31. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-70, November.
  32. 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.
  33. Jim Malley & Apostolis Philippopoulos & Ulrich Woitek, 2005. "Electoral Uncertainty, Fiscal Policy and Macroeconomic Fluctuations," CESifo Working Paper Series 1593, CESifo Group Munich.
  34. Casey B. Mulligan, 2002. "A Century of Labor-Leisure Distortions," NBER Working Papers 8774, National Bureau of Economic Research, Inc.
  35. Bart Hobijn, 2001. "Is equipment price deflation a statistical artifact?," Staff Reports 139, Federal Reserve Bank of New York.
  36. 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.
  37. 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.
  38. 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.
  39. Ravi Bansal & Amir Yaron, 2000. "Risks for the Long Run: A Potential Resolution of Asset Pricing Puzzles," NBER Working Papers 8059, National Bureau of Economic Research, Inc.
  40. 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.
  41. Michael R. Pakko, 2002. "What Happens When the Technology Growth Trend Changes?: Transition Dynamics, Capital Growth and the 'New Economy'," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 5(2), pages 376-407, April.
  42. 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.
  43. 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.
  44. Lawrence J. Christiano & Martin Eichenbaum & Robert Vigfusson, 2003. "What Happens After a Technology Shock?," NBER Working Papers 9819, National Bureau of Economic Research, Inc.
  45. Marianne Baxter & Robert G. King, 1991. "Productive externalities and business cycles," Discussion Paper / Institute for Empirical Macroeconomics 53, Federal Reserve Bank of Minneapolis.
  46. Allison Holland & Andrew Scott, 1997. "The determinants of UK business cycles," Bank of England working papers 58, Bank of England.
  47. 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.
  48. 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.
  49. L. Wade, 1988. "Review," Public Choice, Springer, vol. 58(1), pages 99-100, July.
  50. 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.
  51. 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).
  52. Christopher J. Erceg & Luca Guerrieri, 2004. "Can Long-Run Restrictions Identify Technology Shocks?," Computing in Economics and Finance 2004 3, Society for Computational Economics.
  53. 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.
  54. 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.
  55. 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.
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