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A Structural Cointegrating VAR Approach to Macroeconometric Modelling

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Abstract

This paper discusses the ?structural cointegrating VAR? approach to macroeconometric modelling and compares it to other approaches currently followed in the literature, namely, the large-scale simultaneous equation macroeconometric models, the structural VARs, and the dynamic stochastic general equilibrium models. The structural co- integrating VAR approach has the attractive features that the estimated long-run relationships embedded in the model are theory consistent, and have a clear economic interpretation, and yet the short-run dynamics are flexibly estimated within a VAR framework. The approach is illustrated using a small quarterly macroeconomic model of the UK, and its use in impulse response analysis and probability forcasting is discussed.

Suggested Citation

  • Garratt, Anthony & Lee, Kevin C & Pesaran, M. Hashem & Shin, Yongcheol, 1998. "A Structural Cointegrating VAR Approach to Macroeconometric Modelling," Cambridge Working Papers in Economics 9823, Faculty of Economics, University of Cambridge.
    • Handle: RePEc:cam:camdae:9823
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    Cited by:

    1. Paul Gaggl & Serguei Kaniovski & Klaus Prettner & Thomas Url, 2009. "The short and long-run interdependencies between the Eurozone and the USA," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 36(2), pages 209-227, May.
    2. Lombardi, Marco J. & Galesi, Alessandro, 2009. "External shocks and international inflation linkages: a global VAR analysis," Working Paper Series 1062, European Central Bank.
    3. Michael R. Wickens & Roberto Motto, 2001. "Estimating shocks and impulse response functions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 371-387.
    4. H. Levent Korap, 2007. "Multirank Cointegration Analysis Of Turkish M1 Money Demand (1987q1-2006q3)," Istanbul University Econometrics and Statistics e-Journal, Department of Econometrics, Faculty of Economics, Istanbul University, vol. 6(1), pages 1-28, May.
    5. Derek W. Bunn & Carlo Fezzi, 2007. "Interaction of European Carbon Trading and Energy Prices," Working Papers 2007.63, Fondazione Eni Enrico Mattei.
    6. MAURIN Alain & SOOKRAM Sandra & WATSON Patrick Kent, 2010. "Measuring the Size of the Hidden Economy in Trinidad & Tobago," EcoMod2003 330700098, EcoMod.
    7. M. Hashem Pesaran, 2000. "Forecast Uncertainties in Macroeconometric Modelling: An Application to the UK Economy," CESifo Working Paper Series 345, CESifo.
    8. Jha, Jaya & Roe, Terry L., 2016. "U.S. Agricultural Export Competitiveness and Export Market Diversification," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236250, Agricultural and Applied Economics Association.
    9. Philip Rothman & Dick van Dijk & Philip Hans Franses, 1999. "A Multivariate STAR Analysis of the Relationship Between Money and Output," Working Papers 9913, East Carolina University, Department of Economics.
    10. Claus Brand & Nuno Cassola, 2004. "A money demand system for euro area M3," Applied Economics, Taylor & Francis Journals, vol. 36(8), pages 817-838.
    11. Aloui, Riadh & Gupta, Rangan & Miller, Stephen M., 2016. "Uncertainty and crude oil returns," Energy Economics, Elsevier, vol. 55(C), pages 92-100.
    12. Prettner, Catherine & Prettner, Klaus, 2012. "After Two Decades of Integration: How Interdependent are Eastern European Economies and the Euro Area?," Department of Economics Working Paper Series 138, WU Vienna University of Economics and Business.
    13. Pesaran M.H. & Schuermann T. & Weiner S.M., 2004. "Modeling Regional Interdependencies Using a Global Error-Correcting Macroeconometric Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 129-162, April.
    14. 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.
    15. Mr Insukindro & Arti Adji & Aryo Aliyudanto, 2014. "Analysis of the Unanticipated Factors in Portfolio Inflows to Indonesia: A SCVAR Approach, 2000: Q1 - 2012: Q4," EcoMod2014 7019, EcoMod.
    16. Anthony Garratt & Kevin Lee & M. Hashem Pesaran & Yongcheol Shin, 2003. "A Long run structural macroeconometric model of the UK," Economic Journal, Royal Economic Society, vol. 113(487), pages 412-455, April.
    17. WATSON Patrick, 2010. "Macroeonomic Dynamics in Trinidad & Tobago: Implications for Monetary Policy in a Very Small Oil-Based Economy," EcoMod2003 330700151, EcoMod.
    18. Bunn, Derek W. & Fezzi, Carlo, 2007. "Interaction of European Carbon Trading and Energy Prices," Climate Change Modelling and Policy Working Papers 9092, Fondazione Eni Enrico Mattei (FEEM).
    19. Garratt A. & Lee K. & Pesaran M.H. & Shin Y., 2003. "Forecast Uncertainties in Macroeconomic Modeling: An Application to the U.K. Economy," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 829-838, January.
    20. Chen, Pu & Schneider, Elena & Frohn, Joachim, 2008. "A Long-Run Structural Macroeconometric Model for Germany: An Empirical Note," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 2, pages 1-12.
    21. Ann Cavlovic & Kathleen Day, "undated". "Equalization and the Incentives for Growth: An Empirical Investigation of the "Tax-Back" Effect," Working Papers-Department of Finance Canada 2003-23, Department of Finance Canada.
    22. Alain Maurin & Sandra Sookram & Patrick Kent Watson, 2006. "Measuring the size of the hidden economy in Trinidad & Tobago, 1973-1999," International Economic Journal, Taylor & Francis Journals, vol. 20(3), pages 321-341.

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    Keywords

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    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • 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
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications

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