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A,B,C's (and D's)'s for Understanding VARS

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  • Jesús Fernández-Villaverde
  • Juan F. Rubio-Ramirez
  • Thomas J. Sargent

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 for a vector of observables. An associated state space system (A,ˆB,C,ˆD) determines a vector autoregression for those same observables. We present a simple condition for checking when these two state space systems match up and when they do not when there are equal numbers of economic and VAR shocks. We illustrate our condition with a permanent income example. (JEL C32, E32)

(This abstract was borrowed from another version of this item.)

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File URL: http://www.econ.upenn.edu/~jesusfv/ABCD_for_vars.pdf
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Paper provided by UCLA Department of Economics in its series Levine's Bibliography with number 172782000000000096.

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Date of creation: 05 Apr 2005
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Handle: RePEc:cla:levrem:172782000000000096

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  1. Matching Theory and Data: Bayesian Vector Autoregression and Dynamic Stochastic General Equilibrium Models
    by Christian Zimmermann in NEP-DGE blog on 2009-09-27 01:45:04
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  1. Advanced Monetary Theory and Policy (ECON 447)

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