Multiple Time Series Models Susan Lowell de Solorzano This book provides readers with

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Multiple Time Series Models Susan Lowell de Solorzano This book provides readers withMany analyses of time series data involve multiple, related variables. Multiple Time Series Models presents many specification choices and special challenges. This book reviews the main competing approaches to modeling multiple time series: simultaneous equations, ARIMA, error correction models, and vector autoregression. The text focuses on vector autoregression (VAR) models as a generalization of the other approaches mentioned. Specification,