Statistics, econometrics, and forecasting /

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Bibliographic Details
Author / Creator:Zellner, Arnold.
Imprint:Cambridge, UK ; New York : Cambridge University Press, 2004.
Description:1 online resource (xvii, 163 pages) : illustrations
Language:English
Series:The Stone lectures in economics
Stone lectures in economics.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11812394
Hidden Bibliographic Details
ISBN:0511185057
9780511185052
0511187726
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9780511327056
Digital file characteristics:data file
Notes:Includes bibliographical references (pages 138-154) and indexes.
English.
Print version record.
Summary: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.
Other form:Print version: Zellner, Arnold. Statistics, econometrics, and forecasting. Cambridge, UK ; New York : Cambridge University Press, 2004 052183287X 0521540445