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Temporal aggregation and SVAR identification, with an application to fiscal policy

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  • Beetsma, Roel
  • Giuliodori, Massimo
  • Klaassen, Franc

Abstract

We show how to assess identifying assumptions for a low-frequency SVAR using estimates from a higher-frequency model. In our application quarterly data support identified annual SVARs in government spending and output by assuming zero within-year impact of output on spending.

Suggested Citation

  • Beetsma, Roel & Giuliodori, Massimo & Klaassen, Franc, 2009. "Temporal aggregation and SVAR identification, with an application to fiscal policy," Economics Letters, Elsevier, vol. 105(3), pages 253-255, December.
    • Handle: RePEc:eee:ecolet:v:105:y:2009:i:3:p:253-255
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    References listed on IDEAS

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    1. Christiano, Lawrence J. & Eichenbaum, Martin, 1987. "Temporal aggregation and structural inference in macroeconomics," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 26(1), pages 63-130, January.
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    4. Granger, C. W. J., 1988. "Some recent development in a concept of causality," Journal of Econometrics, Elsevier, vol. 39(1-2), pages 199-211.
    5. Olivier Blanchard & Roberto Perotti, 2002. "An Empirical Characterization of the Dynamic Effects of Changes in Government Spending and Taxes on Output," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(4), pages 1329-1368.
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