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Constructing Multi-Country Rational Expectations Models

Author

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  • Stephane Dees
  • M. Hashem Pesaran
  • L. Vanessa Smith
  • Ron P. Smith

Abstract

type="main" xml:id="obes12046-abs-0001"> This article considers some of the technical issues involved in using the global vector autoregression (GVAR) approach to construct a multi-country rational expectations (RE) model and illustrates them with a new Keynesian model for 33 countries estimated with quarterly data over the period 1980–2011. The issues considered are: the measurement of steady states; the determination of exchange rates and the specification of the short-run country-specific models; the identification and estimation of the model subject to the theoretical constraints required for a determinate rational expectations solution; the solution of a large RE model; the structure and estimation of the covariance matrix and the simulation of shocks. The model used as an illustration shows that global demand and supply shocks are the most important drivers of output, inflation and interest rates in the long run. By contrast, monetary or exchange rate shocks have only a short-run impact in the evolution of the world economy. The article also shows the importance of international connections, directly as well as indirectly through spillover effects. Overall, ignoring global inter-connections as country-specific models do, could give rise to misleading conclusions.

Suggested Citation

  • Stephane Dees & M. Hashem Pesaran & L. Vanessa Smith & Ron P. Smith, 2014. "Constructing Multi-Country Rational Expectations Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(6), pages 812-840, December.
  • Handle: RePEc:bla:obuest:v:76:y:2014:i:6:p:812-840
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    File URL: http://hdl.handle.net/10.1111/obes.2014.76.issue-6
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    Citations

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    Cited by:

    1. Hashem Pesaran & Ambrogio Cesa-Bianchi & Alessandro Rebucci, 2014. "Uncertainty and Economic Activity: A Global Perspective," Cambridge Working Papers in Economics 1407, Faculty of Economics, University of Cambridge.
    2. Ambrogio Cesa-Bianchi & M. Hashem Pesaran & Alessandro Rebucci, 2014. "Uncertainty and Economic Activity: A Global Perspective," CESifo Working Paper Series 4736, CESifo Group Munich.
    3. Alexander Chudik & M. Hashem Pesaran, 2016. "Theory And Practice Of Gvar Modelling," Journal of Economic Surveys, Wiley Blackwell, vol. 30(1), pages 165-197, February.
    4. Povilas Lastauskas & Julius Stakėnas, 2022. "Dancing Alone or Together: The Dynamic Effects of Independent and Common Monetary Policies," Advances in Econometrics, in: Essays in Honor of M. Hashem Pesaran: Prediction and Macro Modeling, volume 43, pages 217-241, Emerald Group Publishing Limited.
    5. Pedro Bação & António Portugal Duarte & Diana Machado, 2016. "Exchange Rates, the Competitiveness of Nations and Unemployment," GEMF Working Papers 2016-14, GEMF, Faculty of Economics, University of Coimbra.
    6. Konstantakis, Konstantinos N. & Michaelides, Panayotis G. & Tsionas, Efthymios G. & Minou, Chrysanthi, 2015. "System estimation of GVAR with two dominants and network theory: Evidence for BRICs," Economic Modelling, Elsevier, vol. 51(C), pages 604-616.
    7. Alice, Albonico & Roberta, Cardani & Patrizio, Tirelli, 2017. "Debunking the Myth of Southern Profligacy. A DSGE Analysis of Business Cycles in the EMU’s Big Four," Working Papers 373, University of Milano-Bicocca, Department of Economics, revised Jan 2018.
    8. Pedro Bação & António Portugal Duarte & Diana Machado, 2016. "Exchange Rates, the Competitiveness of Nations and Unemployment," GEMF Working Papers 2016-14, GEMF, Faculty of Economics, University of Coimbra.
    9. Ong, Sheue Li & Sato, Kiyotaka, 2018. "Regional or global shock? A global VAR analysis of Asian economic and financial integration," The North American Journal of Economics and Finance, Elsevier, vol. 46(C), pages 232-248.
    10. Muhammad Ayyoub & Julia Wörz, 2019. "What Drives Inflation-Output Tradeoff Dynamics in Pakistan? An Assessment of International Linkages and Global Trends," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 24(1), pages 55-81, Jan-June.
    11. Dieppe, Alistair & Georgiadis, Georgios & Ricci, Martino & Van Robays, Ine & van Roye, Björn, 2018. "ECB-Global: Introducing the ECB's global macroeconomic model for spillover analysis," Economic Modelling, Elsevier, vol. 72(C), pages 78-98.
    12. Considine, Jennifer & Hatipoglu, Emre & Aldayel, Abdullah, 2022. "The sensitivity of oil price shocks to preexisting market conditions: A GVAR analysis," Journal of Commodity Markets, Elsevier, vol. 27(C).
    13. Gunter, Ulrich & Zekan, Bozana, 2021. "Forecasting air passenger numbers with a GVAR model," Annals of Tourism Research, Elsevier, vol. 89(C).
    14. Tsionas, Efthymios G. & Konstantakis, Konstantinos N. & Michaelides, Panayotis G., 2016. "Bayesian GVAR with k-endogenous dominants & input–output weights: Financial and trade channels in crisis transmission for BRICs," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 42(C), pages 1-26.
    15. Constantinescu, Mihnea & Lastauskas, Povilas, 2018. "The knotty interplay between credit and housing," The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 241-266.
    16. Feldkircher, Martin & Huber, Florian, 2016. "The international transmission of US shocks—Evidence from Bayesian global vector autoregressions," European Economic Review, Elsevier, vol. 81(C), pages 167-188.

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