Multiple Time Series Models


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Multiple Time Series Models introduces researchers and students to the different approaches to modeling multivariate time series data including simultaneous equations, ARIMA, error correction models, and vector autoregression. Authors Patrick T. Brandt and John T. Williams focus on vector autoregression (VAR) models as a generalization of these other approaches and discuss specification, estimation, and inference using these models.

Multiple Time Series Models 2006, Sage Publications, Inc, Thousand Oaks

ISBN-13: 9781412906562

Trade paperback