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Forecasting Non-Stationary Economic Time Series Book

Forecasting Non-Stationary Economic Time Series
Forecasting Non-Stationary Economic Time Series, Economies evolve and are subject to sudden shifts precipitated by legislative changes, economic policy, major discoveries, and political turmoil. Macroeconometric models are a very imperfect tool for forecasting this highly complicated and changing proces, Forecasting Non-Stationary Economic Time Series has a rating of 4 stars
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Forecasting Non-Stationary Economic Time Series, Economies evolve and are subject to sudden shifts precipitated by legislative changes, economic policy, major discoveries, and political turmoil. Macroeconometric models are a very imperfect tool for forecasting this highly complicated and changing proces, Forecasting Non-Stationary Economic Time Series
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  • Forecasting Non-Stationary Economic Time Series
  • Written by author Michael P. Clements
  • Published by MIT Press, March 2001
  • Economies evolve and are subject to sudden shifts precipitated by legislative changes, economic policy, major discoveries, and political turmoil. Macroeconometric models are a very imperfect tool for forecasting this highly complicated and changing proces
  • In their second book on economic forecasting, Michael Clements and David Hendry ask why some practices seem to work empirically despite a lack of formal support from theory.
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Book Categories

Authors

List of Figures
List of Tables
Series Foreword
Foreword
Preface
Common Acronyms
1Economic Forecasting1
2Forecast Failure36
3Deterministic Shifts69
4Other Sources98
5Differencing133
6Intercept Corrections166
7Modeling Consumers' Expenditure189
8A Small UK Money Model216
9Co-breaking240
10Modeling Shifts264
11A Wage-Price Model286
12Postscript300
References327
Glossary347
Author Index351
Subject Index355


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Forecasting Non-Stationary Economic Time Series, Economies evolve and are subject to sudden shifts precipitated by legislative changes, economic policy, major discoveries, and political turmoil. Macroeconometric models are a very imperfect tool for forecasting this highly complicated and changing proces, Forecasting Non-Stationary Economic Time Series

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Forecasting Non-Stationary Economic Time Series, Economies evolve and are subject to sudden shifts precipitated by legislative changes, economic policy, major discoveries, and political turmoil. Macroeconometric models are a very imperfect tool for forecasting this highly complicated and changing proces, Forecasting Non-Stationary Economic Time Series

Forecasting Non-Stationary Economic Time Series

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Forecasting Non-Stationary Economic Time Series, Economies evolve and are subject to sudden shifts precipitated by legislative changes, economic policy, major discoveries, and political turmoil. Macroeconometric models are a very imperfect tool for forecasting this highly complicated and changing proces, Forecasting Non-Stationary Economic Time Series

Forecasting Non-Stationary Economic Time Series

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