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Multiple Time Series Models - Quantitative Applications in the Social Sciences
Patrick T. Brandt
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Multiple Time Series Models - Quantitative Applications in the Social Sciences
Patrick T. Brandt
Reviews the main competing approaches to modeling multiple time series: simultaneous equations, ARIMA, error correction models, and vector autoregression. This book focuses on vector autoregression (VAR) models as a generalization of the other approaches mentioned. It also reviews arguments for and against using multi-equation time series models.
120 pages, Illustrations
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | November 2, 2006 |
| ISBN13 | 9781412906562 |
| Publishers | SAGE Publications Inc |
| Pages | 120 |
| Dimensions | 139 × 214 × 7 mm · 156 g |
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