Statistics, Econometrics and Forecasting (Paperback)

Arnold Zellner

ISBN 10: 0521540445 / ISBN 13: 9780521540445

Verlag: Cambridge University Press, Cambridge, 2004

Beschreibung

Paperback. 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 in the world, this book describes the structural econometric time series analysis (SEMTSA) approach to statistical and econometric modeling, and provides a careful analysis and appreciation of the paradigm shift back to the Bayesian approach to scientific inference. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9780521540445

Bibliografische Details

Titel: Statistics, Econometrics and Forecasting (...

Verlag: Cambridge University Press, Cambridge

Erscheinungsdatum: 2004

Einband: Paperback

Zustand: new

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Inhaltsangabe:

Written by one of the foremost practitioners and exponents of econometrics in the world, this book describes the structural econometric time series analysis (SEMTSA) approach to statistical and econometric modeling, and provides a careful analysis and appreciation of the paradigm shift back to the Bayesian approach to scientific inference.

Críticas:

"I found it a stimulating book. It offers valuable insights on Arnold Zellner's approach to 'good' research, demonstrating how productive and novative research may emerge. Also entertaining were the various anecdotes." - Markus Leippold, University of Ziurich