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Anticipation and Real Business Cycles

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Author Info
David R.F. Love () (Department of Economics, Brock University)
Jean-Francois Lamarche () (Department of Economics, Brock University)

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Abstract

Standard real business cycle (RBC) theory assumes that changes in economic conditions are unanticipated. We argue that upcoming changes are often well anticipated. Employing the RBC methodology to evaluate models when changes in economic conditions are fully anticipated provides evidence on the relevance of this alternative. We find that anticipation effects i) reduce the exogenous volatility required for the models to explain output folatility, ii) improves or leaves unchanged, the model predictions for the data moments studied and, iii) can go some way to providing realistic internal propagation mechanisms within theoretical frameworks.

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File URL: ftp://coffee.econ.brocku.ca/RePec/pdf/0703.pdf
File Format: application/pdf
File Function: First version, Nov. 2004
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Publisher Info
Paper provided by Brock University, Department of Economics in its series Working Papers with number 0703.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 38 pages
Date of creation: Sep 2004
Date of revision: Sep 2007
Handle: RePEc:brk:wpaper:0703

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Related research
Keywords: Anticipation; Real Business Cycles; Impulse Responses;

Find related papers by JEL classification:
E10 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - General
E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation

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References listed on IDEAS
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  16. Merz, Monika, 1995. "Search in the labor market and the real business cycle," Journal of Monetary Economics, Elsevier, vol. 36(2), pages 269-300, November. [Downloadable!] (restricted)
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  19. Gagnon, Joseph E, 1990. "Solving the Stochastic Growth Model by Deterministic Extended Path," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(1), pages 35-36, January.
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  21. Andolfatto, David, 1996. "Business Cycles and Labor-Market Search," American Economic Review, American Economic Association, vol. 86(1), pages 112-32, March. [Downloadable!] (restricted)
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