Time Series Analysis for the Social Sciences Paperback / softback
by Janet M. (Ohio State University) Box-Steffensmeier, John R. (University of Minnesota) Freeman, Matthew P. (Louisiana State University) Hitt, Jon C. W. (University of Wisconsin, Madison) Pevehouse
Part of the Analytical Methods for Social Research series
Paperback / softback
- Information
Description
Time series, or longitudinal, data are ubiquitous in the social sciences.
Unfortunately, analysts often treat the time series properties of their data as a nuisance rather than a substantively meaningful dynamic process to be modeled and interpreted.
Time Series Analysis for the Social Sciences provides accessible, up-to-date instruction and examples of the core methods in time series econometrics.
Janet M. Box-Steffensmeier, John R. Freeman, Jon C. Pevehouse and Matthew P. Hitt cover a wide range of topics including ARIMA models, time series regression, unit-root diagnosis, vector autoregressive models, error-correction models, intervention models, fractional integration, ARCH models, structural breaks, and forecasting.
This book is aimed at researchers and graduate students who have taken at least one course in multivariate regression.
Examples are drawn from several areas of social science, including political behavior, elections, international conflict, criminology, and comparative political economy.
Information
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Out of StockMore expected soonContact us for further information
- Format:Paperback / softback
- Pages:298 pages, 30 Tables, unspecified; 93 Line drawings, unspecified
- Publisher:Cambridge University Press
- Publication Date:22/12/2014
- Category:
- ISBN:9780521691550
Information
-
Out of StockMore expected soonContact us for further information
- Format:Paperback / softback
- Pages:298 pages, 30 Tables, unspecified; 93 Line drawings, unspecified
- Publisher:Cambridge University Press
- Publication Date:22/12/2014
- Category:
- ISBN:9780521691550