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Labor Hoarding, Superior Information and Business Cycle Dynamics

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In this paper, we test whether labor-hoarding environments with basic and augmented laws of motion provide an adequate explanation for observed business cycle dynamics. The basic law of motion assumes that the information set used by economic agents to forecast future forcing variables includes only the history of forcing variables. Augmented laws of motion assume that the information set is superior and include both forcing and hidden exogenous variables. We show that the labor-hoarding environment with the basic law of motion fails to replicate observed business cycle facts, while the environment with augmented laws of motion successfully matches these facts.

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Bibliographic Info

Paper provided by CREFE, Université du Québec à Montréal in its series Cahiers de recherche CREFE / CREFE Working Papers with number 129.

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Length: 39 pages
Date of creation: Mar 2001
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Handle: RePEc:cre:crefwp:129

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Keywords: hidden variable; law of motion; trend-cycle decomposition;

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References

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  1. Flavin, Marjorie, 1993. "The Excess Smoothness of Consumption: Identification and Interpretation," Review of Economic Studies, Wiley Blackwell, vol. 60(3), pages 651-66, July.
  2. 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.
  3. Campbell, John Y & Deaton, Angus, 1989. "Why Is Consumption So Smooth?," Review of Economic Studies, Wiley Blackwell, vol. 56(3), pages 357-73, July.
  4. Normandin, Michel, 1999. "Budget deficit persistence and the twin deficits hypothesis," Journal of International Economics, Elsevier, vol. 49(1), pages 171-193, October.
  5. Hansen, Lars Peter & Sargent, Thomas J., 1980. "Formulating and estimating dynamic linear rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 2(1), pages 7-46, May.
  6. King, Robert G. & Plosser, Charles I. & Rebelo, Sergio T., 1988. "Production, growth and business cycles : II. New directions," Journal of Monetary Economics, Elsevier, vol. 21(2-3), pages 309-341.
  7. Campbell, John Y & Shiller, Robert J, 1987. "Cointegration and Tests of Present Value Models," Journal of Political Economy, University of Chicago Press, vol. 95(5), pages 1062-88, October.
  8. Gary Hansen, 2010. "Indivisible Labor and the Business Cycle," Levine's Working Paper Archive 233, David K. Levine.
  9. Cho, J.O. & Cooley, T.F., 1991. "The Business Cycle with Nominal Contracts," RCER Working Papers 260, University of Rochester - Center for Economic Research (RCER).
  10. Timothy Cogley & James M. Nason, 1993. "Output dynamics in real business cycle models," Working Papers in Applied Economic Theory 93-10, Federal Reserve Bank of San Francisco.
  11. Lawrence J. Christiano & Martin Eichenbaum, 1990. "Current real business cycle theories and aggregate labor market fluctuations," Working Paper Series, Macroeconomic Issues 90, Federal Reserve Bank of Chicago.
  12. King, Robert G & Watson, Mark W, 1996. "Money, Prices, Interest Rates and the Business Cycle," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 35-53, February.
  13. Burnside, Craig & Eichenbaum, Martin, 1996. "Factor-Hoarding and the Propagation of Business-Cycle Shocks," American Economic Review, American Economic Association, vol. 86(5), pages 1154-74, December.
  14. Craig Burnside & Martin Eichenbaum & Sergio Rebelo, 1990. "Labor Hoarding and the Business Cycle," NBER Working Papers 3556, National Bureau of Economic Research, Inc.
  15. Martin Boileau & Michel Normandin, 1997. "Aggregate Employment, Real Business Cycles, and Superior Information," Cahiers de recherche CREFE / CREFE Working Papers 55, CREFE, Université du Québec à Montréal.
  16. Rotemberg, Julio J & Woodford, Michael, 1996. "Real-Business-Cycle Models and the Forecastable Movements in Output, Hours, and Consumption," American Economic Review, American Economic Association, vol. 86(1), pages 71-89, March.
  17. Kevin D. Hoover & Kevin D. Salyer, . "Technology Shocks Or Colored Noise? Why Real-Business-Cycle Models Cannot Explain Actual Business Cycles," Department of Economics 97-29, California Davis - Department of Economics.
  18. Lars Peter Hansen & Thomas J. Sargent, 1981. "Instrumental variables procedures for estimating linear rational expectations models," Staff Report 70, Federal Reserve Bank of Minneapolis.
  19. 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.
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Citations

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Cited by:
  1. Michel Normandin, 2006. "Fiscal Policies, External Deficits, and Budget Deficits," Cahiers de recherche 06-05, HEC Montréal, Institut d'économie appliquée.
  2. Michel Normandin, 2004. "Econometric Inference, Cyclical Fluctuations, and Superior Information," Cahiers de recherche 04-13, HEC Montréal, Institut d'économie appliquée.
  3. Boileau, Martin & Normandin, Michel, 2003. "Capacity utilization, superior information, and the business cycle," Journal of Macroeconomics, Elsevier, vol. 25(3), pages 283-309, September.

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