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Statistics, Econometrics and Forecasting
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  • 9 b/w illus. 13 tables
  • Page extent: 184 pages
  • Size: 216 x 138 mm
  • Weight: 0.24 kg
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 (ISBN-13: 9780521540445 | ISBN-10: 0521540445)

DOI: 10.2277/0521540445

Manufactured on demand: supplied direct from the printer

 (Stock level updated: 02:09 GMT, 28 November 2015)


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.

• Written by one of the foremost practitioners and exponents of econometrics • Provides basic material on how to construct econometric models, with applied examples, including the newly developed Marshallian Macroeconomic Model • First book in new lecture series honouring Nobel Laureate, the late Sir Richard Stone


List of figures; List of tables; Preface; Lecture 1. Bank of England; Lecture 2. National Institute of Economic and Social Research; Appendix: on the questionable virtue of aggregation; Notes; References; Indexes.

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