VAR Models as Structural Approximations
This paper presents a way of estimating how accurate VAR models are likely to be for answering structural questions. Data are generated from a dynamic deterministic solution of a structural model; a VAR model is estimated using a subset of these data; and the properties of the VAR model are compared to the properties of the structural model. This procedure has the advantage of eliminating the effects of error terms, since the data are generated for a deterministic simulation. The results show that the VAR models do not seem to be good structural approximations.
|Date of creation:||1987|
|Date of revision:||Mar 1989|
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References listed on IDEAS
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"Econometric Modeling as Information Aggregation,"
NBER Working Papers
2233, National Bureau of Economic Research, Inc.
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National Bureau of Economic Research, Inc.
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NBER Working Papers
1842, National Bureau of Economic Research, Inc.
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- Robert B. Litterman, 1979. "Techniques of forecasting using vector autoregressions," Working Papers 115, Federal Reserve Bank of Minneapolis.
- Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
- Fair, Ray C, 1980. "Estimating the Uncertainty of Policy Effects in Nonlinear Models," Econometrica, Econometric Society, vol. 48(6), pages 1381-91, September.
- Christopher A. Sims, 1982. "Policy Analysis with Econometric Models," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 13(1), pages 107-164.
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