Buch, Englisch, Band 100, 104 Seiten, Format (B × H): 140 mm x 216 mm, Gewicht: 145 g
Buch, Englisch, Band 100, 104 Seiten, Format (B × H): 140 mm x 216 mm, Gewicht: 145 g
Reihe: Quantitative Applications in the Social Sciences
ISBN: 978-0-8039-5440-3
Verlag: Sage Publications, Inc
Which time series test should a researcher chose to best describe the interactions among a set of time series variables? Aimed at providing social scientists with practical guidelines for identifying the appropriate multivariate time series model to use, this book explores the nature and application of these increasingly complex tests. Other topics it covers are joint stationarity, testing for cointegration, testing for Granger causality, and testing for model order, and forecast accuracy. Related models explained include transfer function, vector autoregression, error correction models, and others. Readers with a working knowledge of time series regression will find this helpful book accessible.
Autoren/Hrsg.
Fachgebiete
- Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik
- Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Demographie, Demoskopie
- Sozialwissenschaften Medien- und Kommunikationswissenschaften Kommunikationswissenschaften
- Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Gesellschaftstheorie
- Sozialwissenschaften Psychologie Psychologie / Allgemeines & Theorie Psychologie: Allgemeines
Weitere Infos & Material
Introduction
Testing for Joint Stationarity, Normality and Independence
Testing for Cointegration
Testing for Causality
Multivariate Linear Model Specification
Multivariate Nonlinear Specification
Model Order and Forecast Accuracy
Computational Methods for Performing the Tests