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Multiple Time Series Models

By: Patrick T. Brandt (Author) , John Taylor Williams (Author)

Manufacture on Demand

Ksh 5,500.00

Format: Paperback or Softback

ISBN-13: 9781412906562

Publisher: SAGE Publications Inc

Publication Date: Nov 2nd, 2006

Weight: 156 grams

Dimension: 21.40 x 13.90 x 0.70 cms

Category: Research methods: general

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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.

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