Time Series Analysis for the Social Sciences (BOK)

Janet M Box-Steffensmeier & John R Freeman

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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.

Produktfakta

Språk Engelsk Engelsk Innbinding Heftet
Utgitt 2014 Forfatter Janet M Box-Steffensmeier & John R Freeman
Forlag
CAMBRIDGE UNIVERSITY PRESS
ISBN 9780521691550
Antall sider 272 Dimensjoner 15,3cm x 22,9cm x 1,5cm
Vekt 428 gram Leverandør Bertram Trading Ltd