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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.

Suggested Citation

  • Zellner,Arnold, 2004. "Statistics, Econometrics and Forecasting," Cambridge Books, Cambridge University Press, number 9780521832878, January.
    • Handle: RePEc:cup:cbooks:9780521832878
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    Cited by:

    1. Phillips, Peter C.B., 2005. "Automated Discovery In Econometrics," Econometric Theory, Cambridge University Press, vol. 21(1), pages 3-20, February.
    2. Darío Debowicz & Paul Dorosh & Hamza Haider & Sherman Robinson, 2013. "A Disaggregated and Macro-consistent Social Accounting Matrix for Pakistan," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 2(1), pages 1-25, December.
    3. Eltahir Yassin, 2019. "Accommodation Versus Control Suggested Model to Macro-Economics," Economics, Sciendo, vol. 7(1), pages 95-110, June.
    4. Edward Tsang & Sheri Markose & Hakan Er, 2005. "Chance Discovery In Stock Index Option And Futures Arbitrage," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 1(03), pages 435-447.
    5. Debowicz, Dario & Dorosh, Paul A. & Robinson, Sherman & Haider, Syed Hamza, 2012. "A 2007-08 social accounting matrix for Pakistan:," PSSP working papers 1, International Food Policy Research Institute (IFPRI).
    6. Giacomo Sbrana, 2008. "On the use of area-wide models in the Euro-zone," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 17(4), pages 499-518, October.
    7. Zellner, Arnold & Israilevich, Guillermo, 2005. "Marshallian Macroeconomic Model: A Progress Report," Macroeconomic Dynamics, Cambridge University Press, vol. 9(2), pages 220-243, April.

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