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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 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. (Copyright: Elsevier)

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File URL: http://dx.doi.org/10.1016/j.red.2007.10.001
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Article provided by Elsevier for the Society for Economic Dynamics in its journal Review of Economic Dynamics.

Volume (Year): 11 (2008)
Issue (Month): 3 (July)
Pages: 473-492

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  1. 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.
  2. Christopher J. Erceg & Luca Guerrieri, 2004. "Can Long-Run Restrictions Identify Technology Shocks?," Computing in Economics and Finance 2004 3, Society for Computational Economics.
  3. 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.
  4. Galí, Jordi & Gertler, Mark & Lopez-Salido, Jose David, 2003. "Mark-ups, Gaps and the Welfare Costs of Business Fluctuations," CEPR Discussion Papers 4134, C.E.P.R. Discussion Papers.
  5. 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.
  6. 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.
  7. 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.
  8. 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.).
  9. 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.
  10. Whelan, Karl, 2003. " A Two-Sector Approach to Modeling U.S. NIPA Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(4), pages 627-56, August.
  11. Parkin, M., 1988. "A Method For Determining Whether Parameters In Aggregative Models Are Structural," UWO Department of Economics Working Papers 8803, University of Western Ontario, Department of Economics.
  12. Yongsung Chang & Frank Schorfheide, 2002. "Labor-Supply Shifts and Economic Fluctuations," Macroeconomics 0204005, EconWPA.
  13. Jordi Galí, 2005. "Trends in hours, balanced growth and the role of technology in the business cycle," Economics Working Papers 829, Department of Economics and Business, Universitat Pompeu Fabra.
  14. Lawrence J. Christiano & Martin Eichenbaum & Robert Vigfusson, 2003. "What Happens After a Technology Shock?," NBER Working Papers 9819, National Bureau of Economic Research, Inc.
  15. Greenwood, Jeremy & Hercowitz, Zvi & Krusell, Per, 2000. "The role of investment-specific technological change in the business cycle," European Economic Review, Elsevier, vol. 44(1), pages 91-115, January.
  16. Casey B. Mulligan, 2002. "A Century of Labor-Leisure Distortions," NBER Working Papers 8774, National Bureau of Economic Research, Inc.
  17. 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.
  18. 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.
  19. Michael R. Pakko, 2005. "Changing technology trends, transition dynamics and growth accounting," Working Papers 2000-014, Federal Reserve Bank of St. Louis.
  20. 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.
  21. 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.
  22. Lawrence J. Christiano & Michele Boldrin & Jonas D. M. Fisher, 2001. "Habit Persistence, Asset Returns, and the Business Cycle," American Economic Review, American Economic Association, vol. 91(1), pages 149-166, March.
  23. 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.
  24. Gordon, Robert J, 2000. "Does the 'New Economy' Measure up to the Great Inventions of the Past?," CEPR Discussion Papers 2607, C.E.P.R. Discussion Papers.
  25. 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.
  26. Richard Rogerson, 2010. "Indivisible Labor, Lotteries and Equilibrium," Levine's Working Paper Archive 250, David K. Levine.
  27. 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.
  28. 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.
  29. Hansen, Gary D., 1985. "Indivisible labor and the business cycle," Journal of Monetary Economics, Elsevier, vol. 16(3), pages 309-327, November.
  30. Kahn, James A. & Rich, Robert W., 2007. "Tracking the new economy: Using growth theory to detect changes in trend productivity," Journal of Monetary Economics, Elsevier, vol. 54(6), pages 1670-1701, September.
  31. Jim Malley & Apostolis Philippopoulos & Ulrich Woitek, 2005. "Electoral Uncertainty, Fiscal Policy and Macroeconomic Fluctuations," CESifo Working Paper Series 1593, CESifo Group Munich.
  32. 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.
  33. 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.).
  34. 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.
  35. Robert E. Hall, 1997. "Macroeconomic Fluctuations and the Allocation of Time," NBER Working Papers 5933, National Bureau of Economic Research, Inc.
  36. Bart Hobijn, 2001. "Is equipment price deflation a statistical artifact?," Staff Reports 139, Federal Reserve Bank of New York.
  37. 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.
  38. Chang, Yongsung & Doh, Taeyoung & Schorfheide, Frank, 2005. "Non-stationary Hours in a DSGE Model," CEPR Discussion Papers 5232, C.E.P.R. Discussion Papers.
  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. Yongsung Chang & Frank Schorfheide, 2003. "Labor shifts and economic fluctuations," Working Paper 03-07, Federal Reserve Bank of Richmond.
  41. Whelan, Karl, 2004. "New Evidence on Balanced Growth, Stochastic Trends, and Economic Fluctations," Research Technical Papers 7/RT/04, Central Bank of Ireland.
  42. 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.
  43. 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.
  44. Allison Holland & Andrew Scott, 1997. "The determinants of UK business cycles," Bank of England working papers 58, Bank of England.
  45. 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.
  46. L. Wade, 1988. "Review," Public Choice, Springer, vol. 58(1), pages 99-100, July.
  47. repec:ucn:oapubs:10197/218 is not listed on IDEAS
  48. Comin, D. & Gertler, M., 2003. "Medium Term Business Cycles," Working Papers 03-05, C.V. Starr Center for Applied Economics, New York University.
  49. 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.
  50. Jonas D. M. Fisher, 2002. "Technology shocks matter," Working Paper Series WP-02-14, Federal Reserve Bank of Chicago.
  51. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-70, November.
  52. Greenwood, J. & Hercowitz, Z. & Krusell, P., 1996. "Long-Run Implications of Investment-Specific Technological Change," RCER Working Papers 420, University of Rochester - Center for Economic Research (RCER).
  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. 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.
  55. 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.
  56. Marianne Baxter & Robert G. King, 1991. "Productive externalities and business cycles," Discussion Paper / Institute for Empirical Macroeconomics 53, Federal Reserve Bank of Minneapolis.
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