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The Structural Econometric Time Series Analysis ApproachFrom Cambridge University Press
Ebook Free The Structural Econometric Time Series Analysis ApproachFrom Cambridge University Press
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This book assembles key texts in the theory and applications of the Structural Econometric Time Series Analysis (SEMTSA) approach. The theory and applications of these procedures to a variety of econometric modeling and forecasting problems as well as Bayesian and non-Bayesian testing, shrinkage estimation and forecasting procedures are presented and applied. Finally, attention is focused on the effects of disaggregation on forecasting precision.
- Sales Rank: #5106992 in Books
- Published on: 2011-02-17
- Original language: English
- Number of items: 1
- Dimensions: 9.02" h x 1.46" w x 5.98" l, 2.13 pounds
- Binding: Paperback
- 736 pages
About the Author
Arnold Zellner is H. G. B. Alexander Distinguished Service Professor Emeritus of Economics and Statistics, Graduate School of Business, University of Chicago and Adjunct Professor, University of California at Berkeley. He has published books and many articles on the theory and application of econometrics and statistics to a wide range of problems. Franz C. Palm is Professor of Econometrics, Faculty of Economics and Business Administration, Maastricht University. He has published many articles on the theory and application of econometrics and statistics to a wide range of problems.
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