Macroeconomic model reference

Structural VAR (SVAR) Model

Identified vector autoregression that turns reduced-form residuals into economically named structural shocks.

Empirical forecasting models · Sources

Structural VAR (SVAR) sources, papers, and evidence trail

Primary papers, model variants, source notes, and review signals behind the Structural VAR (SVAR) page.

References

Academic and research sources

Peer-reviewed papers, books, and research used to ground model mechanisms or contested interpretations.

  1. [S1] Econometrica

    Macroeconomics and Reality

    Reduced-form base for structural identification.

    Academic - Econometrica - dated 1980

  2. [S2] Quarterly Journal of Economics

    An Empirical Characterization of the Dynamic Effects of Changes in Government Spending and Taxes

    Blanchard and Perotti on institutional timing restrictions.

    Academic - Quarterly Journal of Economics - dated 2002

  3. [S3] Journal of Monetary Economics

    What Are the Effects of Monetary Policy on Output?

    Uhlig on sign-restricted monetary shocks.

    Academic - Journal of Monetary Economics - dated 2005

Reference sources

Reference material used for orientation; read primary and academic sources first when claims conflict.

  1. [S4] Reference

    Sims (1980) -- introduced the VAR framework and the recursive identification approach

    Reference

  2. [S5] Reference

    Blanchard and Quah (1989) -- long-run identification using permanent/transitory decomposition

    Reference

  3. [S6] Reference

    Uhlig (2005) -- sign-restriction identification for monetary policy shocks

    Reference

  4. [S7] Reference

    Rubio-Ramirez, Waggoner, and Zha (2010) -- algorithm for drawing from the identified set under sign restrictions

    Reference

  5. [S8] Reference

    Stock and Watson (2012) -- external instruments for SVAR identification (disentangling supply and demand)

    Reference

  6. [S9] Reference

    Mertens and Ravn (2013) -- proxy SVAR methodology and fiscal policy application

    Reference

  7. [S10] Reference

    Gertler and Karadi (2015) -- proxy SVAR for monetary policy using high-frequency surprises

    Reference

  8. [S11] Reference

    Kilian (2009) -- recursive SVAR for oil market shocks

    Reference

Research footing

Evidence and data

The identifying restriction is the research design. Report the restriction, horizon, data vintage, and sensitivity checks.

Calibration or measurement

Ordering, sign restrictions, instruments, and shock normalization determine the structural impulse response.

Boundaries

  • Different admissible restrictions can tell different stories.
  • Weak instruments damage proxy SVARs.
  • Historical decompositions inherit identification risk.

Use guidance

When sufficient
Identified impulse responses to a small number of structural shocks when the identification scheme, whether recursive ordering, sign restrictions, long-run restrictions (Blanchard-Quah 1989 AER), or an external instrument, is credible and can be defended. The standard tool for estimating the effect of a monetary-policy shock, a government-spending shock, or an oil-supply disruption when theory restricts the impact or frequency-domain behavior of the shock.
When sketch only
Do not use when the identifying restriction is itself the contested question. If the debate is whether central banks reacted to output or output reacted to central banks, a recursive SVAR that resolves this by assumption is not a structural test; it is a labeling exercise. Sign-restricted SVARs can also be under-identified, with a wide posterior set of admissible impulse responses.
When to switch
Switch to an external-instrument SVAR (Mertens-Ravn 2013 AER; Stock-Watson 2018 JEEA proxy-SVAR) when a narrative or high-frequency surprise measure provides a stronger instrument than within-sample restrictions. Switch to an estimated DSGE (dsge:nk) when the structural interpretation of each shock needs to be pinned to a specific friction rather than a timing or sign assumption.
Falsification signal
Impulse responses that flip sign or change magnitude substantially across plausible but distinct identification schemes on the same dataset indicate the result is not robust to identification uncertainty. A monetary shock that appears contractionary under recursive ordering but expansionary under sign restrictions signals that the data do not sharply identify the shock, regardless of which label is assigned.

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