Statistics, econometrics, and forecasting / Arnold Zellner.
Material type: TextSeries: Stone lectures in economicsPublisher: Cambridge : Cambridge University Press, 2004Description: 1 online resource (xvii, 163 pages) : digital, PDF file(s)Content type:- text
- computer
- online resource
- 9780511493188 (ebook)
- Statistics, Econometrics & Forecasting
- 330/.01/5195 21
- HB141 .Z45 2004
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Preface -- 1. Lecture I: Bank of England -- 2. Lecture II: National Institute for Economic and Social Research -- 3. Appendix: On the questionable virtue of aggregation.
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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