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Technology Shocks and Aggregate Fluctuations

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  • Jordi Galí
  • Pau Rabanal

Abstract

Our answer: Not so well. We reached that conclusion after reviewing recent research on the role of technology as a source of economic fluctuations. The bulk of the evidence suggests a limited role for aggregate technology shocks, pointing instead to demand factors as the main force behind the strong positive comovement between output and labor input measures.

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Bibliographic Info

Paper provided by International Monetary Fund in its series IMF Working Papers with number 04/234.

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Length: 67
Date of creation: 01 Dec 2004
Date of revision:
Handle: RePEc:imf:imfwpa:04/234

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Keywords: Economic models; business cycle; correlation; business cycles; equation; time series; business cycle fluctuations; predictions; statistics; standard deviation; correlations; real business cycle; standard deviations; calibration; business cycle component; source of business cycles; empirical framework; business cycle components; random walk; econometrics; general equilibrium model; parameter estimation; real business cycles; statistic; significance level; logarithms; autocorrelation; total factor productivity; empirical model; business cycle theories; stationary process; estimation method; probability; growth model; probabilities; samples; random walk process; general equilibrium models; measurement error; calibrations; sources of business cycle; predictability; observable variable; markov chain; constant mean; growth rates; standard error; growth accounting; instrumental variables; growth rate; time series analysis; conventional business cycle; prediction; real gdp; gamma distributions; stochastic models; source of business cycle; difference equation; forward-looking model; significance levels; empirical exercise; polynomials; equations; neoclassical growth model; economic growth; linear models; business cycle phenomena; sample mean; functional forms;

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References

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  1. Susanto Basu & Miles S. Kimball, 1997. "Cyclical Productivity with Unobserved Input Variation," NBER Working Papers 5915, National Bureau of Economic Research, Inc.
  2. Prescott, Edward C., 1986. "Theory ahead of business-cycle measurement," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 25(1), pages 11-44, January.
  3. Kwiatkowski, D. & Phillips, P.C.B. & Schmidt, P., 1990. "Testing the Null Hypothesis of Stationarity Against the Alternative of Unit Root : How Sure are we that Economic Time Series have a Unit Root?," Papers 8905, Michigan State - Econometrics and Economic Theory.
  4. 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.
  5. Peter N. Ireland, 2004. "Technology Shocks in the New Keynesian Model," The Review of Economics and Statistics, MIT Press, vol. 86(4), pages 923-936, November.
  6. 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.
  7. Neville Francis & Michael T. Owyang & Athena T. Theodorou, 2003. "The use of long-run restrictions for the identification of technology shocks," Review, Federal Reserve Bank of St. Louis, issue Nov, pages 53-66.
  8. Bullard, James & Mitra, Kaushik, 2002. "Learning about monetary policy rules," Journal of Monetary Economics, Elsevier, vol. 49(6), pages 1105-1129, September.
  9. Elena Pesavento & Barbara Rossi, 2004. "Do Technology Shocks Drive Hours Up or Down? A Little Evidence From an Agnostic Procedure," Econometrics 0411002, EconWPA.
  10. Athanasios Orphanides & John C. Williams, 2003. "Robust monetary policy rules with unknown natural rates," Finance and Economics Discussion Series 2003-11, Board of Governors of the Federal Reserve System (U.S.).
  11. 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.
  12. Erceg, Christopher J. & Levin, Andrew T., 2003. "Imperfect credibility and inflation persistence," Journal of Monetary Economics, Elsevier, vol. 50(4), pages 915-944, May.
  13. 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.
  14. Jean Boivin & Marc P. Giannoni, 2003. "Has Monetary Policy Become More Effective?," NBER Working Papers 9459, National Bureau of Economic Research, Inc.
  15. Jordi Galí & David López-Salido & Javier Vallés, 2000. "Technology Shocks and Monetary policy: Assessing the Fed's Performance," Banco de Espa�a Working Papers 0013, Banco de Espa�a.
  16. Ingram, B.F. & Kocherlakota, N.R. & Savin, N.E., 1992. "Explaining Business Cycles : A Multiple Shock Approach," Working Papers 92-09, University of Iowa, Department of Economics.
  17. Gali, Jordi & Gertler, Mark, 1999. "Inflation dynamics: A structural econometric analysis," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 195-222, October.
  18. Julio J. Rotemberg & Michael Woodford, 1999. "Interest Rate Rules in an Estimated Sticky Price Model," NBER Chapters, in: Monetary Policy Rules, pages 57-126 National Bureau of Economic Research, Inc.
  19. Craig Burnside & Martin Eichenbaum, 1994. "Factor Hoarding and the Propagation of Business Cycles Shocks," NBER Working Papers 4675, National Bureau of Economic Research, Inc.
  20. John Shea, 1999. "What Do Technology Shocks Do?," NBER Chapters, in: NBER Macroeconomics Annual 1998, volume 13, pages 275-322 National Bureau of Economic Research, Inc.
  21. King, Robert G. & Plosser, Charles I. & Rebelo, Sergio T., 1988. "Production, growth and business cycles : I. The basic neoclassical model," Journal of Monetary Economics, Elsevier, vol. 21(2-3), pages 195-232.
  22. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-70, November.
  23. Ramey, Valerie A. & Shapiro, Matthew D., 1998. "Costly capital reallocation and the effects of government spending," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 48(1), pages 145-194, June.
  24. Mark Bils & Peter J. Klenow, 2004. "Some Evidence on the Importance of Sticky Prices," Journal of Political Economy, University of Chicago Press, vol. 112(5), pages 947-985, October.
  25. Lawrence J. Christiano & Martin Eichenbaum & Robert Vigfusson, 2003. "What Happens After a Technology Shock?," NBER Working Papers 9819, National Bureau of Economic Research, Inc.
  26. Burnside, A Craig & Eichenbaum, Martin & Rebelo, Sérgio, 1995. "Capital Utilization and Returns to Scale," CEPR Discussion Papers 1221, C.E.P.R. Discussion Papers.
  27. Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
  28. Ellen R. McGrattan, 1991. "The macroeconomic effects of distortionary taxation," Discussion Paper / Institute for Empirical Macroeconomics 37, Federal Reserve Bank of Minneapolis.
  29. Gordon, Robert J., 1990. "The Measurement of Durable Goods Prices," National Bureau of Economic Research Books, University of Chicago Press, edition 1, number 9780226304557, April.
  30. Martin Lettau & Harald Uhlig, 2000. "Can Habit Formation be Reconciled with Business Cycle Facts?," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 3(1), pages 79-99, January.
  31. 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.
  32. 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.
  33. Blanchard, Olivier Jean, 1989. "A Traditional Interpretation of Macroeconomic Fluctuations," American Economic Review, American Economic Association, vol. 79(5), pages 1146-64, December.
  34. Pau Rabanal, 2003. "The Cost Channel of Monetary Policy," IMF Working Papers 03/149, International Monetary Fund.
  35. Hoover, Kevin D. & Perez, Stephen J., 1994. "Post hoc ergo propter once more an evaluation of 'does monetary policy matter?' in the spirit of James Tobin," Journal of Monetary Economics, Elsevier, vol. 34(1), pages 47-74, August.
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