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Modelling Regional Interdependencies Using a Global Error-Correcting Macroeconometric Model

  • Pesaran, M.H.
  • Weiner, S.M.

We build a compact global macroeconometric model capable of generating point and density forecasts for a core set of macroeconomic factors using recent advances in the analysis of cointegrating systems. We do so for a set of countries/regions and explicitly allow for interdependencies that exist between national and international factors. In an unrestricted VAR(p) model in k endogenous variables covering N countries, the number of unknown parameters will be unfeasibly large. We deal with this issue by first estimating individual country/region specific vector error-correcting models, where the domestic variables are related to corresponding foreign variables constructed to match the relevant international trade pattern. The country models are then combined to generate forecasts for all the variables in the world economy simultaneously. We estimate the model using quarterly data from 1979Q1 to 1999Q1, and investigate the time profile of the transmission of shocks of one variable to the rest of the world to show the degree of regional interdependencies.

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File URL: http://www.econ.cam.ac.uk/research/repec/cam/pdf/wp0119.pdf
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Paper provided by Faculty of Economics, University of Cambridge in its series Cambridge Working Papers in Economics with number 0119.

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Length: 54
Date of creation: Dec 2001
Date of revision:
Handle: RePEc:cam:camdae:0119
Note: EM
Contact details of provider: Web page: http://www.econ.cam.ac.uk/index.htm

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  4. Garratt, Anthony & Kevin Lee & M Hashem Pesaran & Yongcheol Shin, 2002. "Forecast Uncertainties In Macroeconometric Modelling: An Application to the UK Economy," Royal Economic Society Annual Conference 2002 82, Royal Economic Society.
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  28. Garratt, A. & Lee, K. & Pesaran, M. H. & Shin, Y., 1998. "A Long-run Structural Macro-econometric Model of the UK," Cambridge Working Papers in Economics 9812, Faculty of Economics, University of Cambridge.
  29. William J. Crowder & Dennis L. Hoffman & Robert H. Rasche, 1999. "Identification, Long-Run Relations, and Fundamental Innovations in a Simple Cointegrated System," The Review of Economics and Statistics, MIT Press, vol. 81(1), pages 109-121, February.
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