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20%OFFJames D. Hamilton - Time Series Analysis - 9780691042893 - V9780691042893
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Time Series Analysis

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Description for Time Series Analysis Hardback. A graduate-level text which describes the recent dramatic changes that have taken place in the way that researchers analyze economic and financial time series. It explores such important innovations as vector regression, nonlinear time series models and the generalized methods of moments. Num Pages: 816 pages, Ill. BIC Classification: KCH; PBT. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 253 x 173 x 66. Weight in Grams: 1782.
The last decade has brought dramatic changes in the way that researchers analyze economic and financial time series. This book synthesizes these recent advances and makes them accessible to first-year graduate students. James Hamilton provides the first adequate text-book treatments of important innovations such as vector autoregressions, generalized method of moments, the economic and statistical consequences of unit roots, time-varying variances, and nonlinear time series models. In addition, he presents basic tools for analyzing dynamic systems (including linear representations, autocovariance generating functions, spectral analysis, and the Kalman filter) in a way that integrates economic theory with the practical difficulties of ... Read more

Product Details

Publication date
Princeton University Press
Number of pages
Signed by the author
Number of Pages
Place of Publication
New Jersey, United States
Shipping Time
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About James D. Hamilton
James D. Hamilton is Professor of Economics at the University of California, San Diego.

Reviews for Time Series Analysis
"A carefully prepared and well written book... Without doubt, it can be recommended as a very valuable encyclopedia and textbook for a reader who is looking for a mainly theoretical textbook which combines traditional time series analysis with a review of recent research areas."
Journal of Economics

Goodreads reviews for Time Series Analysis

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