| Forecasting in Business and Economics Revised Edition Contributor(s): Granger, C. W. J. (Editor) |
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ISBN: 0122951816 ISBN-13: 9780122951817 Publisher: Academic Press OUR PRICE: $107.34 Product Type: Hardcover - Other Formats Published: April 1989 Annotation: This thoroughly revised second edition of an upper-level undergraduate/graduate text describes many major techniques of forecasting used in economics and business. This is the only time series book to concentrate onthe forecasting of economic data and to cover such a broad range of topics. Key Features * Explains how to specify and evaluate simple models from the time series and econometric approaches * Places special emphasis on the information that is derived from the evaluation and combinations of forecasts * Discusses the topics of technological and population forecasting * Includes an expanded chapter on regression techniques * Presents a practical forecasting project which runs throughout the text * Includes an appendix on basic statistical concepts |
| Additional Information |
| BISAC Categories: - Business & Economics | Economics - Microeconomics |
| Dewey: 338.544 |
| LCCN: 88030262 |
| Series: Economic Theory, Econometrics, and Mathematical Economics |
| Physical Information: 0.99" H x 6.34" W x 9.32" (1.26 lbs) 290 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: This thoroughly revised second edition of an upper-level undergraduate/graduate text describes many major techniques of forecasting used in economics and business. This is the only time series book to concentrate on the forecasting of economic data and to cover such a broad range of topics. Its key features are: gives a complete description, with applications, of the Box-Jenkins single series modeling techniques; extends the Box-Jenkins techniques to multivariate cases; compares forecasts from purely statistical and econometric models; pays careful attention to such problems as how to evaluate and compare forecasts; covers nonstationary and nonlinear models, co-integration and error-correction models. |