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Factor-Hoarding and the Propagation of Business-Cycle Shocks

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  • Burnside, Craig
  • Eichenbaum, Martin

Abstract

This paper analyzes the role of variable capital-utilization rates in propagating shocks over the business cycle. The model on which the authors' analysis is based treats variable capital-utilization rates as a form of factor-hoarding. They argue that variable capital-utilization rates are a quantitatively important source of propagation to business-cycle shocks. With this additional source of propagation, the volatility of exogenous technology shocks needed to explain the observed variability in aggregate U.S. output is significantly reduced relative to standard real-business-cycle models. Copyright 1996 by American Economic Association.

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Bibliographic Info

Article provided by American Economic Association in its journal American Economic Review.

Volume (Year): 86 (1996)
Issue (Month): 5 (December)
Pages: 1154-74
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Handle: RePEc:aea:aecrev:v:86:y:1996:i:5:p:1154-74

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References

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  1. Edward C. Prescott, 1986. "Theory ahead of business cycle measurement," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Fall, pages 9-22.
  2. Shapiro, Matthew D, 1993. "Cyclical Productivity and the Workweek of Capital," American Economic Review, American Economic Association, vol. 83(2), pages 229-33, May.
  3. Newey, Whitney K & West, Kenneth D, 1987. "A Simple, Positive Semi-definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix," Econometrica, Econometric Society, vol. 55(3), pages 703-08, May.
  4. Beveridge, Stephen & Nelson, Charles R., 1981. "A new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the `business cycle'," Journal of Monetary Economics, Elsevier, vol. 7(2), pages 151-174.
  5. Matthew D. Shapiro, 1989. "Assessing the Federal Reserve's Measures of Capacity and Utilization," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 20(1), pages 181-242.
  6. Chistiano, Lawrence J & den Haan, Wouter J, 1996. "Small-Sample Properties of GMM for Business-Cycle Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(3), pages 309-27, July.
  7. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-54, July.
  8. Rotemberg, Julio J & Summers, Lawrence H, 1990. "Inflexible Prices and Procyclical Productivity," The Quarterly Journal of Economics, MIT Press, vol. 105(4), pages 851-74, November.
  9. Hansen, Gary D., 1985. "Indivisible labor and the business cycle," Journal of Monetary Economics, Elsevier, vol. 16(3), pages 309-327, November.
  10. Watson, Mark W, 1993. "Measures of Fit for Calibrated Models," Journal of Political Economy, University of Chicago Press, vol. 101(6), pages 1011-41, December.
  11. Christiano, Lawrence J & Eichenbaum, Martin, 1992. "Current Real-Business-Cycle Theories and Aggregate Labor-Market Fluctuations," American Economic Review, American Economic Association, vol. 82(3), pages 430-50, June.
  12. Craig Burnside & Martin Eichenbaum & Sergio Rebelo, 1993. "Labor Hoarding and the Business Cycle," NBER Working Papers 3556, National Bureau of Economic Research, Inc.
  13. King, R.G. & Rebelo, S.T., 1989. "Transitional Dynamics And Economic Growth In The Neoclassical Model," RCER Working Papers 206, University of Rochester - Center for Economic Research (RCER).
  14. Basu, S., 1993. "Procyclical Productivity: Overhead Inputs or Cyclical Utilization," Papers 93-25, Michigan - Center for Research on Economic & Social Theory.
  15. 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.
  16. Cogley, T. & Nason, J.M., 1992. "Do Real Business Cycles Models Pass the Nelson-Plosser Test?," UBC Departmental Archives 92-24, UBC Department of Economics.
  17. Kydland, Finn E. & Prescott, Edward C., 1988. "The workweek of capital and its cyclical implications," Journal of Monetary Economics, Elsevier, vol. 21(2-3), pages 343-360.
  18. Burnside, Craig & Eichenbaum, Martin S, 1996. "Small-Sample Properties of GMM-Based Wald Tests," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(3), pages 294-308, July.
  19. Mark Bils & Jang-Ok Cho, 1993. "Cyclical factor utilization," Discussion Paper / Institute for Empirical Macroeconomics 79, Federal Reserve Bank of Minneapolis.
  20. Jeremy Greenwood & Zvi Hercowitz & Per Krusell, 1992. "Macroeconomic implications of investment-specific technological change," Discussion Paper / Institute for Empirical Macroeconomics 76, Federal Reserve Bank of Minneapolis.
  21. Andrews, Donald W K, 1991. "Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation," Econometrica, Econometric Society, vol. 59(3), pages 817-58, May.
  22. Robert J. Hodrick & Edward Prescott, 1981. "Post-War U.S. Business Cycles: An Empirical Investigation," Discussion Papers 451, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  23. Bresnahan, Timothy F & Ramey, Valerie A, 1993. "Segment Shifts and Capacity Utilization in the U.S. Automobile Industry," American Economic Review, American Economic Association, vol. 83(2), pages 213-18, May.
  24. King, Robert G. & Rebelo, Sergio T., 1993. "Low frequency filtering and real business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 17(1-2), pages 207-231.
  25. Mary G. Finn, 1991. "Energy price shocks, capacity utilization and business cycle fluctuations," Discussion Paper / Institute for Empirical Macroeconomics 50, Federal Reserve Bank of Minneapolis.
  26. Christiano, Lawrence J., 1988. "Why does inventory investment fluctuate so much?," Journal of Monetary Economics, Elsevier, vol. 21(2-3), pages 247-280.
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