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Two flaws in business cycle dating

  • Lawrence J. Christiano
  • Joshua M. Davis

Using “business cycle accounting,” Chari, Kehoe, and McGrattan (2006) conclude that models of financial frictions which create a wedge in the intertemporal Euler equation are not promising avenues for modeling business cycle dynamics. There are two reasons that this conclusion is not warranted. First, small changes in the implementation of business cycle accounting overturn Chari, Kehoe, and McGrattan’s conclusions. Second, one way that shocks to the intertemporal wedge affect the economy is by their spillover effects onto other wedges. This potentially important mechanism for the transmission of intertemporal-wedge shocks is not identified under business cycle accounting. Chari, Kehoe, and McGrattan potentially understate the importance of these shocks by adopting the extreme position that spillover effects are zero.

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Paper provided by Federal Reserve Bank of Cleveland in its series Working Paper with number 0612.

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Date of creation: 2006
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Handle: RePEc:fip:fedcwp:0612
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  1. Lawrence J. Christiano & Martin Eichenbaum & Charles Evans, 2001. "Nominal rigidities and the dynamic effects of a shock to monetary policy," Working Paper 0107, Federal Reserve Bank of Cleveland.
  2. Lippi, Marco & Reichlin, Lucrezia, 1993. "The Dynamic Effects of Aggregate Demand and Supply Disturbances: Comment," American Economic Review, American Economic Association, vol. 83(3), pages 644-52, June.
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  4. V. V. Chari & Patrick J. Kehoe & Ellen R. McGrattan, 2007. "Business Cycle Accounting," Econometrica, Econometric Society, vol. 75(3), pages 781-836, 05.
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  6. Andrew Levin & Christopher J. Erceg & Dale W. Henderson, 1999. "Optimal Monetary Policy with Staggered Wage and Price Contracts," Computing in Economics and Finance 1999 1151, Society for Computational Economics.
  7. Lawrence J. Christiano & Martin Eichenbaum & Robert Vigfusson, 2007. "Assessing Structural VARs," NBER Chapters, in: NBER Macroeconomics Annual 2006, Volume 21, pages 1-106 National Bureau of Economic Research, Inc.
  8. Schmitt-Grohe, Stephanie & Uribe, Martin, 2004. "Solving dynamic general equilibrium models using a second-order approximation to the policy function," Journal of Economic Dynamics and Control, Elsevier, vol. 28(4), pages 755-775, January.
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  12. Eberly, Janice C., 1997. "International evidence on investment and fundamentals," European Economic Review, Elsevier, vol. 41(6), pages 1055-1078, June.
  13. Lawrence J. Christiano & Roberto Motto & Massimo Rostagno, 2003. "The Great Depression and the Friedman-Schwartz hypothesis," Proceedings, Federal Reserve Bank of Cleveland, pages 1119-1215.
  14. Parkin, Michael, 1988. "A method for determining whether parameters in aggregative models are structural," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 29(1), pages 215-252, January.
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  16. Abel, Andrew B., 1980. "Empirical investment equations : An integrative framework," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 12(1), pages 39-91, January.
  17. Casey B. Mulligan, 2002. "A Dual Method of Empirically Evaluating Dynamic Competitive Equilibrium Models with Market Distortions, Applied to the Great Depression & World War II," NBER Working Papers 8775, National Bureau of Economic Research, Inc.
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  20. Queijo, Virginia, 2005. "How Important are Financial Frictions in the U.S. and Euro Area?," Seminar Papers 738, Stockholm University, Institute for International Economic Studies.
  21. Lawrence J. Christiano, 1998. "Solving dynamic equilibrium models by a method of undetermined coefficients," Working Paper 9804, Federal Reserve Bank of Cleveland.
  22. 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.
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