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Statistical Issues in Macroeconomic Modelling

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  • EILEV S. JANSEN

Abstract

The paper describes the influx of mathematical statistics in economics. It focuses on an approach to macroeconometric modelling which is based on fundamental statistical concepts like the joint distribution function of all observable variables for the whole sample period. The methodology relies on valid conditioning and marginalization of this function in order to arrive at tractable subsystems, which can be analysed with statistical methods. Two case studies—the modelling of the household sector and of wages and prices in the Norges Bank RIMINI model—highlight this.

Suggested Citation

  • Eilev S. Jansen, 2002. "Statistical Issues in Macroeconomic Modelling," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 29(2), pages 193-213, June.
  • Handle: RePEc:bla:scjsta:v:29:y:2002:i:2:p:193-213
    DOI: 10.1111/1467-9469.00280
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    References listed on IDEAS

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    1. Gunnar Bardsen & Eilev Jansen & Ragnar Nymoen, 2002. "Model Specification and Inflation Forecast Uncertainty," Annals of Economics and Statistics, GENES, issue 67-68, pages 495-517.
    2. Stephen S. Poloz & David Rose & Robert Tetlow, 1994. "The Bank of Canada's new Quarterly Projection Model (QPM): An introduction," Bank of Canada Review, Bank of Canada, vol. 1994(Autumn), pages 23-38.
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    5. Clements,Michael & Hendry,David, 1998. "Forecasting Economic Time Series," Cambridge Books, Cambridge University Press, number 9780521634809.
    6. Alain Hecq & Franz Palm & Jean-Pierre Urbain, 2002. "Separation, Weak Exogeneity, And P-T Decomposition In Cointegrated Var Systems With Common Features," Econometric Reviews, Taylor & Francis Journals, vol. 21(3), pages 273-307.
    7. Engle, R. F. & Granger, C. W. J. (ed.), 1991. "Long-Run Economic Relationships: Readings in Cointegration," OUP Catalogue, Oxford University Press, number 9780198283393.
    8. Granger,Clive W. J., 1999. "Empirical Modeling in Economics," Cambridge Books, Cambridge University Press, number 9780521778251.
    9. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    10. Ronald G. Bodkin & Lawrence R. Klein & Kanta Marwah, 1991. "A History of Macroeconometric Model-Building," Books, Edward Elgar Publishing, number 51.
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    Cited by:

    1. Valadkhani, Abbas, 2004. "History of macroeconometric modelling: lessons from past experience," Journal of Policy Modeling, Elsevier, vol. 26(2), pages 265-281, February.
    2. Bauwens, Luc & Sucarrat, Genaro, 2010. "General-to-specific modelling of exchange rate volatility: A forecast evaluation," International Journal of Forecasting, Elsevier, vol. 26(4), pages 885-907, October.
    3. Øyvind Eitrheim & Bjarne Gulbrandsen, 2001. "A model based approach to analysing financial stability," BIS Papers chapters, in: Bank for International Settlements (ed.), Marrying the macro- and micro-prudential dimensions of financial stability, volume 1, pages 311-330, Bank for International Settlements.
    4. Bardsen, Gunnar & Eitrheim, Oyvind & Jansen, Eilev S. & Nymoen, Ragnar, 2005. "The Econometrics of Macroeconomic Modelling," OUP Catalogue, Oxford University Press, number 9780199246502.

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