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Vector rational error correction

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  • Sharon Kozicki
  • P.A. Tinsley

Abstract

Systems of forward-looking linear decision rules can be formulated as vector "rational" error correction models. The closed-form solution of the restricted error corrections is derived, and a full-information estimator is suggested. The error correction format indicates that the assumptions of convex adjustment costs and rational expectations impose different types of a priori restrictions on the dynamic structure of the error corrections. An empirical model of the producer decision rule for capital investment illustrates that the data rejects dynamic restrictions imposed by a standard model of adjustment costs but supports a more general description of convex frictions.

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Bibliographic Info

Paper provided by Federal Reserve Bank of Kansas City in its series Research Working Paper with number 98-03.

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Date of creation: 1998
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Handle: RePEc:fip:fedkrw:98-03

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Keywords: Vector autoregression ; Rational expectations (Economic theory);

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Citations

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Cited by:
  1. Jeffrey C. Fuhrer & Giovanni P. Olivei, 2004. "Estimating forward looking Euler equations with GMM estimators: an optimal instruments approach," Working Papers 04-2, Federal Reserve Bank of Boston.
  2. Fanelli, Luca, 2007. "Evaluating the New Keynesian Phillips Curve under VAR-based learning," MPRA Paper 1616, University Library of Munich, Germany.
  3. Sharon Kozicki & P.A. Tinsley, 2002. "Alternative sources of the lag dynamics of inflation," Research Working Paper RWP 02-12, Federal Reserve Bank of Kansas City.
  4. Rochelle M. Edge & Thomas Laubach & John C. Williams, 2003. "The responses of wages and prices to technology shocks," Finance and Economics Discussion Series 2003-65, Board of Governors of the Federal Reserve System (U.S.).
  5. Luca Fanelli, 2009. "Estimation of quasi-rational DSGE monetary models," Quaderni di Dipartimento 3, Department of Statistics, University of Bologna.
  6. Sharon Kozicki & P.A. Tinsley, 2001. "Dynamic specifications in optimizing trend-deviation macro models," Research Working Paper RWP 01-03, Federal Reserve Bank of Kansas City.
  7. Peter von zur Muehlen, 2001. "The effect of past and future economic fundamentals on spending and pricing behavior in the FRB/US macroeconomic model," Finance and Economics Discussion Series 2001-12, Board of Governors of the Federal Reserve System (U.S.).
  8. Ireland, Peter N., 2001. "Sticky-price models of the business cycle: Specification and stability," Journal of Monetary Economics, Elsevier, vol. 47(1), pages 3-18, February.
  9. Fanelli, Luca, 2002. "A new approach for estimating and testing the linear quadratic adjustment cost model under rational expectations and I(1) variables," Journal of Economic Dynamics and Control, Elsevier, vol. 26(1), pages 117-139, January.
  10. Fanelli, Luca, 2008. "Evaluating New Keynesian Phillips Curve under VAR-Based Learning," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy, vol. 2(33), pages 1-24.
  11. Kozicki, Sharon, 2012. "Macro has progressed," Journal of Macroeconomics, Elsevier, vol. 34(1), pages 23-28.
  12. Martin Meurers, 2004. "Estimating Supply and Demand Functions in International Trade: A Multivariate Cointegration Analysis for Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), Justus-Liebig University Giessen, Department of Statistics and Economics, vol. 224(5), pages 530-556, September.
  13. Marc-André Gosselin & René Lalonde, 2003. "Un modèle « PAC » d'analyse et de prévision des dépense des ménages américains," Working Papers 03-13, Bank of Canada.
  14. Kiley, Michael T., 2001. "Computers and growth with frictions: aggregate and disaggregate evidence," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 55(1), pages 171-215, December.
  15. Fanelli, Luca, 2006. "Multi-equational linear quadratic adjustment cost models with rational expectations and cointegration," Journal of Economic Dynamics and Control, Elsevier, vol. 30(3), pages 445-456, March.
  16. Oscar Jorda & Sharon Kozicki, 2007. "Estimation and Inference by the Method of Projection Minimum Distance," Working Papers 78, University of California, Davis, Department of Economics.
  17. Marc-André Gosselin & René Lalonde, 2004. "Modélisation « PAC » du secteur extérieur de l'économie américaine," Working Papers 04-3, Bank of Canada.

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