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Synopsis
This text offers key texts in the theory and application of the Structural Econometric Time Series Analysis (SEMTSA) approach.
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Book Description
This book assembles previously published texts in the theory and application of the Structural Econometric Time Series Analysis (SEMTSA) approach. It provides a discussion of major considerations relating to the construction of econometric models that work well to explain economic phenomena, predict future outcomes and be useful for policy-making.
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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The Structural Econometric Time Series Analysis Approach
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Cambridge University Press, 2011
ISBN 10: 0521187435
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The Structural Econometric Time Series Analysis Approach
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The Structural Econometric Time Series Analysis Approach
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The Structural Econometric Time Series Analysis Approach
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The Structural Econometric Time Series Analysis Approach
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Condition: New. This text offers key texts in the theory and application of the Structural Econometric Time Series Analysis (SEMTSA) approach. Editor(s): Zellner, Arnold; Palm, Franz C. Num Pages: 736 pages, black & white illustrations. BIC Classification: KCH; KCHS; KCJ. Category: (P) Professional & Vocational. Dimension: 229 x 152 x 37. Weight in Grams: 970. . 2011. paperback. . . . . Seller Inventory # V9780521187435
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The Structural Econometric Time Series Analysis Approach
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The Structural Econometric Time Series Analysis Approach
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Condition: New. This text offers key texts in the theory and application of the Structural Econometric Time Series Analysis (SEMTSA) approach. Editor(s): Zellner, Arnold; Palm, Franz C. Num Pages: 736 pages, black & white illustrations. BIC Classification: KCH; KCHS; KCJ. Category: (P) Professional & Vocational. Dimension: 229 x 152 x 37. Weight in Grams: 970. . 2011. paperback. . . . . Books ship from the US and Ireland. Seller Inventory # V9780521187435
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The Structural Econometric Time Series Analysis Approach
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The Structural Econometric Time Series Analysis Approach
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The Structural Econometric Time Series Analysis Approach (Paperback)
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Paperback. Condition: new. Paperback. Bringing together a collection of previously published work, this book provides a discussion of major considerations relating to the construction of econometric models that work well to explain economic phenomena, predict future outcomes and be useful for policy-making. Analytical relations between dynamic econometric structural models and empirical time series MVARMA, VAR, transfer function, and univariate ARIMA models are established with important application for model-checking and model construction. 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 also presented and applied. Finally, attention is focused on the effects of disaggregation on forecasting precision and the Marshallian Macroeconomic Model that features demand, supply and entry equations for major sectors of economies is analysed and described. This volume will prove invaluable to professionals, academics and students alike. This book assembles previously published texts in the theory and application of the Structural Econometric Time Series Analysis (SEMTSA) approach. It provides a discussion of major considerations relating to the construction of econometric models that work well to explain economic phenomena, predict future outcomes and be useful for policy-making. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780521187435
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