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An Introduction into the SVAR Methodology: Identification, Interpretation and Limitations of SVAR models

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  • Gottschalk, Jan

Abstract

This paper aims to provide a non-technical introduction into the SVAR methodology. Particular emphasize is put on the approach to identification in SVAR models, which is compared to identification in simultaneous equation models. It is shown that SVAR models are useful tools to analyze the dynamics of a model by subjecting it to an unexpected shock, whereas simultaneous equation models are better suited for policy simulations. A draw back of the SVAR methodology is that due to the low dimension of typical SVAR models the assumption that the underlying shocks are orthogonal is likely to be fairly restrictive.

Suggested Citation

  • Gottschalk, Jan, 2001. "An Introduction into the SVAR Methodology: Identification, Interpretation and Limitations of SVAR models," Kiel Working Papers 1072, Kiel Institute for the World Economy (IfW Kiel).
    • Handle: RePEc:zbw:ifwkwp:1072
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    More about this item

    Keywords

    Structural Vector Autoregressions; Identification; Impulse Response Analysis;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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