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Econometric Modelling

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  • Holly,Sean
  • Weale,Martin

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Abstract

Macroeconomic modelling has been one of the most important and influential areas of economic research. This book presents contributions from the leading researchers working in this area as part of the ongoing research project sponsored by the Economic and Social Research Council, Bank of England and UK Treasury. The papers combine a description of the latest techniques used in modelling the economy with an account of the way that models can be used for purposes of policy analysis. Designed for use by advanced students and professional economists, the book considers issues including: why 'bad' forecasters, i.e. those with no coherent and properly articulated view of the functioning of the macroeconomy, do so well; reconciling short term dynamics with economic theory; modelling tax policy; and the stabilisation costs of European Monetary Union.

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Bibliographic Info

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This book is provided by Cambridge University Press in its series Cambridge Books with number 9780521650694 and published in 2000.

Order: http://www.cambridge.org/uk/catalogue/catalogue.asp?isbn=9780521650694
Handle: RePEc:cup:cbooks:9780521650694

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Web page: http://www.cambridge.org

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Cited by:
  1. 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, 04.
  2. Boyle, Gerry & Conniffe, Denis & McQuinn, Kieran, 2005. "A New Mean Standard Deviation Utility Function and the Behaviour Towards Risk of Specialist Irish Agricultural Producers: 1988-1997," Research Technical Papers 5/RT/05, Central Bank of Ireland.
  3. Narain Sinha, 2004. "Growth, Inequality and Structural Adjustment: An Empirical Interpretation of the S-Curve for Indian Economy," ASARC Working Papers 2004-16, The Australian National University, Australia South Asia Research Centre.
  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.
  5. 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.
  6. Pesaran, M.H. & Weiner, S.M., 2001. "Modelling Regional Interdependencies Using a Global Error-Correcting Macroeconometric Model," Cambridge Working Papers in Economics 0119, Faculty of Economics, University of Cambridge.
  7. Krolzig, Hans-Martin & Marcellino, Massimiliano & Mizon, Grayham E., 2000. "A Markov-switching vector equilibrium correction model of the UK labour market," Discussion Paper Series In Economics And Econometrics 0105, Economics Division, School of Social Sciences, University of Southampton.
  8. David Hendry & Michael P. Clements, 2001. "Economic Forecasting: Some Lessons from Recent Research," Economics Papers 2002-W11, Economics Group, Nuffield College, University of Oxford.
  9. Jacobs, Jan & Wallis, Kenneth F., 2002. "Comparing SVARs and SEMs: more shocking stories," Research Report 02C56, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
  10. GIOT, Pierre, 2000. "Intraday value-at-risk," CORE Discussion Papers 2000045, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  11. Paelinck, J. & Mur, J. & Trívez, J., 2004. "Econometría espacial: más luces que sombras," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 22, pages 1-19, Diciembre.
  12. Hans-Martin Krolzig, 2001. "General--to--Specific Reductions of Vector Autoregressive Processes," Computing in Economics and Finance 2001 164, Society for Computational Economics.

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