Statistics, econometrics, and forecasting / Arnold Zellner.
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...
Saved in:
| Online Access: |
Full Text (via Cambridge) |
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| Main Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge, UK ; New York :
Cambridge University Press,
2004.
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| Series: | Stone lectures in economics.
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| Subjects: |
MARC
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| 100 | 1 | |a Zellner, Arnold. | |
| 245 | 1 | 0 | |a Statistics, econometrics, and forecasting / |c Arnold Zellner. |
| 260 | |a Cambridge, UK ; |a New York : |b Cambridge University Press, |c 2004. | ||
| 300 | |a 1 online resource (xvii, 163 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 490 | 1 | |a The Stone lectures in economics | |
| 504 | |a Includes bibliographical references (pages 138-154) and indexes. | ||
| 505 | 0 | |a Cover; Half-title; Title; Copyright; Contents; Figures; 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; Subject index; Author index. | |
| 588 | 0 | |a Print version record. | |
| 520 | |a 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. | ||
| 546 | |a English. | ||
| 650 | 0 | |a Econometric models. | |
| 650 | 0 | |a Time-series analysis. | |
| 650 | 0 | |a Economic forecasting. | |
| 650 | 7 | |a Econometric models. |2 fast |0 (OCoLC)fst00901567 | |
| 650 | 7 | |a Economic forecasting. |2 fast |0 (OCoLC)fst00901942 | |
| 650 | 7 | |a Time-series analysis. |2 fast |0 (OCoLC)fst01151190 | |
| 776 | 0 | 8 | |i Print version: |a Zellner, Arnold. |t Statistics, econometrics, and forecasting. |d Cambridge, UK ; New York : Cambridge University Press, 2004 |z 052183287X |z 0521540445 |w (DLC) 2003053225 |w (OCoLC)52348772 |
| 830 | 0 | |a Stone lectures in economics. | |
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