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Cambridge University Press Time Series Analysis for the Social Sciences (Analytical Methods for Social Research)

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£73.00 £54.74 £58.72 £62.71 £66.69 £70.68 £74.66 23 May 2024 19 October 2024 17 March 2025 13 August 2025 09 January 2026

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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.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
22 December 2014
Listed Since
29 January 2014

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