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A, B, C’s, (and D’s) for understanding VARs

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Author Info
Jesús Fernández-Villaverde
Juan Francisco Rubio-Ramírez
Thomas Sargent

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Abstract

The dynamics of a linear (or linearized) dynamic stochastic economic model can be expressed in terms of matrices (A, B, C, D) that define a state-space system. An associated state space system (A, K, C, S) determines a vector autoregression (VAR) for observables available to an econometrician. We review circumstances in which the impulse response of the VAR resembles the impulse response associated with the economic model. We give four examples that illustrate a simple condition for checking whether the mapping from VAR shocks to economic shocks is invertible. The condition applies when there are equal numbers of VAR and economic shocks.

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Paper provided by Federal Reserve Bank of Atlanta in its series Working Paper with number 2005-09.

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Date of creation: 2005
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Handle: RePEc:fip:fedawp:2005-09

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  1. Advanced Monetary Theory and Policy (ECON 447)
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  6. Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez & Thomas J. Sargent, 2005. "A,B,C's (and D's)'s for Understanding VARS," Levine's Bibliography 172782000000000096, UCLA Department of Economics. [Downloadable!]
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  7. Christopher Erceg & Luca Guerrieri & Christopher Gust, 2004. "Can long-run restrictions identify technology shocks?," International Finance Discussion Papers 792, Board of Governors of the Federal Reserve System (U.S.). [Downloadable!]
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  19. Lippi, Marco & Reichlin, Lucrezia, 1994. "VAR analysis, nonfundamental representations, blaschke matrices," Journal of Econometrics, Elsevier, vol. 63(1), pages 307-325, July. [Downloadable!] (restricted)
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