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Are Technology Improvements Contractionary?

  • Susanto Basu
  • John Fernald
  • Miles Kimball

Yes. We construct a measure of aggregate technology change, controlling for imperfect competition, varying utilization of capital and labor, and aggregation effects. On impact, when technology improves, input use falls sharply, and output may fall slightly. With a lag of several years, inputs return to normal and output rises strongly. We discuss what models could be consistent with this evidence. For example, standard one-sector real-business-cycle models are not, since they generally predict that technology improvements are expansionary, with inputs and (especially) output rising immediately. However, the evidence is consistent with simple sticky-price models, which predict the results we find: When technology improves, input use generally falls in the short run, and output itself may also fall.

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File URL: http://www.economics.harvard.edu/pub/hier/2002/HIER1986.pdf
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Paper provided by Harvard - Institute of Economic Research in its series Harvard Institute of Economic Research Working Papers with number 1986.

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Date of creation: 2002
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Handle: RePEc:fth:harver:1986
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  1. Beaudry, Paul & Portier, Franck, 2004. "An exploration into Pigou's theory of cycles," Journal of Monetary Economics, Elsevier, vol. 51(6), pages 1183-1216, September.
  2. Susanto Basu, 1996. "Procyclical Productivity: Increasing Returns or Cyclical Utilization?," The Quarterly Journal of Economics, Oxford University Press, vol. 111(3), pages 719-751.
  3. Susanto Basu & John G. Fernald, 1997. "Aggregate productivity and aggregate technology," International Finance Discussion Papers 593, Board of Governors of the Federal Reserve System (U.S.).
  4. Aubhik Khan & Robert G. King & Alexander L. Wolman, 2003. "Optimal Monetary Policy," Review of Economic Studies, Oxford University Press, vol. 70(4), pages 825-860.
  5. Matthew D. Shapiro, 1996. "Macroeconomic Implications of Variation in the Workweek of Capital," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 27(2), pages 79-134.
  6. Jordi Gali & Pau Rabanal, 2004. "Technology Shocks and Aggregate Fluctuations: How Well Does the RBS Model Fit Postwar U.S. Data?," NBER Working Papers 10636, National Bureau of Economic Research, Inc.
  7. Cooper, Russell & Haltiwanger, John, 1996. "Evidence on Macroeconomic Complementarities," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 78-93, February.
  8. Pagan, Adrian, 1984. "Econometric Issues in the Analysis of Regressions with Generated Regressors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(1), pages 221-47, February.
  9. Frank Smets & Raf Wouters, 2002. "An estimated dynamic stochastic general equilibrium model of the euro area," Working Paper Research 35, National Bank of Belgium.
  10. D. W. Jorgenson & Z. Griliches, 1967. "The Explanation of Productivity Change," Review of Economic Studies, Oxford University Press, vol. 34(3), pages 249-283.
  11. Lawrence J. Christiano & Terry J. Fitzgerald, 1999. "The Band Pass Filter," NBER Working Papers 7257, National Bureau of Economic Research, Inc.
    • Lawrence J. Christiano & Terry J. Fitzgerald, 2003. "The Band Pass Filter," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(2), pages 435-465, 05.
  12. Galor, O. & Tsiddon, D., 1996. "Technological Progress, Mobility and Economic Growth," Papers 13-96, Tel Aviv.
  13. Marios Zachariadis, 2003. "R&D, innovation, and technological progress: a test of the Schumpeterian framework without scale effects," Canadian Journal of Economics, Canadian Economics Association, vol. 36(3), pages 566-586, August.
  14. Sbordone, Argia M, 1997. "Interpreting the Procyclical Productivity of Manufacturing Sectors: External Effects or Labor Hoarding?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 26-45, February.
  15. Lucia Foster & John C. Haltiwanger & C. J. Krizan, 2001. "Aggregate Productivity Growth: Lessons from Microeconomic Evidence," NBER Chapters, in: New Developments in Productivity Analysis, pages 303-372 National Bureau of Economic Research, Inc.
  16. Neville Francis & Valerie A. Ramey, 2004. "The Source of Historical Economic Fluctuations: An Analysis using Long-Run Restrictions," NBER Working Papers 10631, National Bureau of Economic Research, Inc.
  17. Mork, Knut Anton, 1989. "Oil and Macroeconomy When Prices Go Up and Down: An Extension of Hamilton's Results," Journal of Political Economy, University of Chicago Press, vol. 97(3), pages 740-44, June.
  18. Miles S. Kimball, 1995. "The Quantitative Analytics of the Basic Neomonetarist Model," NBER Working Papers 5046, National Bureau of Economic Research, Inc.
  19. Hamilton, James D., 1996. "This is what happened to the oil price-macroeconomy relationship," Journal of Monetary Economics, Elsevier, vol. 38(2), pages 215-220, October.
  20. 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.
  21. Burnside, Craig, 1996. "Production function regressions, returns to scale, and externalities," Journal of Monetary Economics, Elsevier, vol. 37(2-3), pages 177-201, April.
  22. Jordi Galí & David López-Salido & Javier Vallés, 2000. "Technology Shocks and Monetary policy: Assessing the Fed's Performance," Working Papers 0013, Banco de España;Working Papers Homepage.
  23. Pierre-Daniel G. Sarte, 1997. "On the identification of structural vector autoregressions," Economic Quarterly, Federal Reserve Bank of Richmond, issue Sum, pages 45-68.
  24. Gali, Jordi & Gertler, Mark, 1999. "Inflation dynamics: A structural econometric analysis," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 195-222, October.
  25. Greenwood, Jeremy & Yorukoglu, Mehmet, 1997. "1974," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 46(1), pages 49-95, June.
    • Greenwood, J. & Yorukoglu, M., 1996. "1974," RCER Working Papers 429, University of Rochester - Center for Economic Research (RCER).
  26. Jeff Fuhrer & George Moore, 1995. "Inflation Persistence," The Quarterly Journal of Economics, Oxford University Press, vol. 110(1), pages 127-159.
  27. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-56, July.
  28. John Shea, 1998. "What Do Technology Shocks Do?," NBER Working Papers 6632, National Bureau of Economic Research, Inc.
  29. Olivier Jean Blanchard & Danny Quah, 1988. "The Dynamic Effects of Aggregate Demand and Supply Disturbance," Working papers 497, Massachusetts Institute of Technology (MIT), Department of Economics.
  30. Jon Faust & Eric M. Leeper, 1994. "When do long-run identifying restrictions give reliable results?," FRB Atlanta Working Paper 94-2, Federal Reserve Bank of Atlanta.
  31. 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.
  32. Bils, Mark & Cho, Jang-Ok, 1994. "Cyclical factor utilization," Journal of Monetary Economics, Elsevier, vol. 33(2), pages 319-354, April.
  33. Susanto Basu & John G. Fernald, 1996. "Returns to scale in U.S. production: estimates and implications," International Finance Discussion Papers 546, Board of Governors of the Federal Reserve System (U.S.).
  34. James Tobin, 1955. "A Dynamic Aggregative Model," Journal of Political Economy, University of Chicago Press, vol. 63, pages 103.
  35. Charles R. Hulten, 1978. "Growth Accounting with Intermediate Inputs," Review of Economic Studies, Oxford University Press, vol. 45(3), pages 511-518.
  36. Craig Burnside & Martin Eichenbaum & Sergio Rebelo, 1995. "Sectoral Solow residuals," Working Paper Series, Macroeconomic Issues 95-15, Federal Reserve Bank of Chicago.
  37. Pindyck, Robert S & Rotemberg, Julio J, 1983. "Dynamic Factor Demands and the Effects of Energy Price Shocks," American Economic Review, American Economic Association, vol. 73(5), pages 1066-79, December.
  38. Susanto Basu & Miles S. Kimball, 1997. "Cyclical Productivity with Unobserved Input Variation," NBER Working Papers 5915, National Bureau of Economic Research, Inc.
  39. Hall, Alastair R & Rudebusch, Glenn D & Wilcox, David W, 1996. "Judging Instrument Relevance in Instrumental Variables Estimation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 37(2), pages 283-98, May.
  40. Matthew Shapiro & Mark Watson, 1988. "Sources of Business Cycles Fluctuations," NBER Chapters, in: NBER Macroeconomics Annual 1988, Volume 3, pages 111-156 National Bureau of Economic Research, Inc.
  41. Cooley, Thomas F. & Dwyer, Mark, 1998. "Business cycle analysis without much theory A look at structural VARs," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 57-88.
  42. S. Lael Brainard & David M. Cutler, 1993. "Sectoral Shifts and Cyclical Unemployment Reconsidered," The Quarterly Journal of Economics, Oxford University Press, vol. 108(1), pages 219-243.
  43. Harald Uhlig, 2004. "Do Technology Shocks Lead to a Fall in Total Hours Worked?," Journal of the European Economic Association, MIT Press, vol. 2(2-3), pages 361-371, 04/05.
  44. 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.
  45. Taylor, John B., 1993. "Discretion versus policy rules in practice," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 39(1), pages 195-214, December.
  46. Christopher J. Erceg & Luca Guerrieri & Christopher J. Gust, 2004. "Can long-run restrictions identify technology shocks?," International Finance Discussion Papers 792, Board of Governors of the Federal Reserve System (U.S.).
  47. Caballero, Ricardo J & Hammour, Mohamad L, 1994. "The Cleansing Effect of Recessions," American Economic Review, American Economic Association, vol. 84(5), pages 1350-68, December.
  48. John Fernald, 2004. "Trend Breaks, Long Run Restrictions, and the Contractionary Effects of Technology Shocks," 2004 Meeting Papers 477, Society for Economic Dynamics.
  49. Gerlach-Kristen Petra, 2004. "Interest-Rate Smoothing: Monetary Policy Inertia or Unobserved Variables?," The B.E. Journal of Macroeconomics, De Gruyter, vol. 4(1), pages 1-19, March.
  50. Abraham, Katharine G. & Katz, Lawrence F., 1986. "Cyclical Unemployment: Sectoral Shifts or Aggregate Disturbances?," Scholarly Articles 3442781, Harvard University Department of Economics.
  51. Lilien, David M, 1982. "Sectoral Shifts and Cyclical Unemployment," Journal of Political Economy, University of Chicago Press, vol. 90(4), pages 777-93, August.
  52. Jonas D. M. Fisher, 2002. "Technology shocks matter," Working Paper Series WP-02-14, Federal Reserve Bank of Chicago.
  53. Yorukoglu, Mehmet, 2000. "Product vs. process innovations and economic fluctuations," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 52(1), pages 137-163, June.
  54. Galí, Jordi & Rabanal, Pau, 2004. "Technology Shocks and Aggregate Fluctuations: How Well Does the RBC Model Fit Post-War US Data?," CEPR Discussion Papers 4522, C.E.P.R. Discussion Papers.
  55. Gadi Barlevy, 2003. "The cost of business cycles under endogenous growth," Working Paper Series WP-03-13, Federal Reserve Bank of Chicago.
  56. J. Beaulieu & Joe Mattey, 1998. "The Workweek of Capital and Capital Utilization in Manufacturing," Journal of Productivity Analysis, Springer, vol. 10(2), pages 199-223, October.
  57. George Stigler, 1939. "Production and Distribution in the Short Run," Journal of Political Economy, University of Chicago Press, vol. 47, pages 305.
  58. John M. Roberts, 1998. "Inflation expectations and the transmission of monetary policy," Finance and Economics Discussion Series 1998-43, Board of Governors of the Federal Reserve System (U.S.).
  59. Loungani, Prakash & Rush, Mark & Tave, William, 1990. "Stock market dispersion and unemployment," Journal of Monetary Economics, Elsevier, vol. 25(3), pages 367-388, June.
  60. Marchetti, Domenico J. & Nucci, Francesco, 2005. "Price stickiness and the contractionary effect of technology shocks," European Economic Review, Elsevier, vol. 49(5), pages 1137-1163, July.
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