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.
"synopsis" may belong to another edition of this title.
Since the first edition ofForecasting in Business and Economicswas published in 1980, the chapter on regression techniques has been expanded, and a practical forecasting project, constructed and evaluated by students, has been added, allowing the student to work through the techniques discussed. A new appendix of statistical concepts including the ideas underlying correlation and regression has also been added.
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