Multiple time series models
By: Patrick T. Brandt, John T. Williams.
Contributors: Williams, John T. 1958-
Series: Quantitative applications in the social sciences -- 148; Sage university papers series -- no. 07-148.
Publisher: Sage Publications
Published: 2007
Place of publication: Thousand Oaks, Calif
Language: eng
Number of pages: 99
ISBN-13: 9781412906562
Subjects: Time-series analysis -- Mathematical models
Description: "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." "This text is intended for advanced undergraduate and graduate courses on time series analysis, quantitative research methods, or more advanced statistics, especially in the departments of Sociology, Psychology, Political Science, and Economics. It is also an excellent resource for researchers in the social sciences who are conducting time series analysis or econometric studies."--BOOK JACKET
Notes: Includes bibliographical references (p. 92-95) and index.