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Comparing SVARs and SEMs: two models of the UK economy

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  • Kenneth F. Wallis

    (Department of Economics, University of Warwick, UK)

  • Jan P. A. M. Jacobs

    (CCSO and Department of Economics, University of Groningen, The Netherlands)

Abstract

The structural vector autoregression (SVAR) and simultaneous equation macroeconometric model (SEM) styles of empirical macroeconomic modelling are compared and contrasted, with reference to two models of the UK economy, namely the long-run structural VAR model of Garratt, Lee, Pesaran and Shin and the COMPACT model. Various styles of impulse response analysis are also compared and contrasted, and used to illustrate model properties. A 'reverse engineering' procedure is used to infer long-run relations of COMPACT comparable to the GLPS cointegrating relations. Copyright © 2005 John Wiley & Sons, Ltd.

Suggested Citation

  • Kenneth F. Wallis & Jan P. A. M. Jacobs, 2005. "Comparing SVARs and SEMs: two models of the UK economy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 209-228.
    • Handle: RePEc:jae:japmet:v:20:y:2005:i:2:p:209-228
    DOI: 10.1002/jae.839
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    Cited by:

    1. Wallis, Kenneth F., 2008. "Macroeconomic modelling in central banks in Latin America," Documentos de Proyectos 3627, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    2. Jacobs, Jan P.A.M. & Wallis, Kenneth F., 2010. "Cointegration, long-run structural modelling and weak exogeneity: Two models of the UK economy," Journal of Econometrics, Elsevier, vol. 158(1), pages 108-116, September.
    3. Tafirenyika Sunde & Olusegun A. Akanbi, 2016. "Sources of unemployment in Namibia: an application of the structural VAR approach," International Journal of Sustainable Economy, Inderscience Enterprises Ltd, vol. 8(2), pages 125-143.
    4. Andrew Mountford, 2005. "Leaning into the Wind: A Structural VAR Investigation of UK Monetary Policy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(5), pages 597-621, October.
    5. Sultan Mehmood, 2014. "Terrorism and the macroeconomy: Evidence from Pakistan," Defence and Peace Economics, Taylor & Francis Journals, vol. 25(5), pages 509-534, October.
    6. Marcus R. Keogh‐Brown & Simon Wren‐Lewis & W. John Edmunds & Philippe Beutels & Richard D. Smith, 2010. "The possible macroeconomic impact on the UK of an influenza pandemic," Health Economics, John Wiley & Sons, Ltd., vol. 19(11), pages 1345-1360, November.
    7. Pool, Sebastiaan & de Haan, Leo & Jacobs, Jan P.A.M., 2015. "Loan loss provisioning, bank credit and the real economy," Journal of Macroeconomics, Elsevier, vol. 45(C), pages 124-136.
    8. Hyeon-Seung Huh, 2013. "A Monte Carlo test for the identifying assumptions of the Blanchard and Quah (1989) model," Applied Economics Letters, Taylor & Francis Journals, vol. 20(6), pages 601-605, April.
    9. David Fielding & Anja Shortland, 2010. "What Explains Changes in the Level of Abuse Against Civilians during the Peruvian Civil War?," Working Papers 1003, University of Otago, Department of Economics, revised May 2010.

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