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Statistics, Econometrics and Forecasting

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  • Zellner,Arnold

Abstract

Based on two lectures presented as part of The Stone Lectures in Economics series, Arnold Zellner describes the structural econometric time series analysis (SEMTSA) approach to statistical and econometric modeling. Developed by Zellner and Franz Palm, the SEMTSA approach produces an understanding of the relationship of univariate and multivariate time series forecasting models and dynamic, time series structural econometric models. As scientists and decision-makers in industry and government world-wide adopt the Bayesian approach to scientific inference, decision-making and forecasting, Zellner offers an in-depth analysis and appreciation of this important paradigm shift. Finally Zellner discusses the alternative approaches to model building and looks at how the use and development of the SEMTSA approach has led to the production of a Marshallian Macroeconomic Model that will prove valuable to many. Written by one of the foremost practitioners of econometrics, this book will have wide academic and professional appeal.

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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 9780521832878 and published in 2004.

Order: http://www.cambridge.org/uk/catalogue/catalogue.asp?isbn=9780521832878
Handle: RePEc:cup:cbooks:9780521832878

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

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Cited by:
  1. Zellner, Arnold & Israilevich, Guillermo, 2005. "The Marshallian macroeconomic model: A progress report," International Journal of Forecasting, Elsevier, vol. 21(4), pages 627-645.
  2. Giacomo Sbrana, 2008. "On the use of area-wide models in the Euro-zone," Statistical Methods and Applications, Springer, vol. 17(4), pages 499-518, October.

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