You can listen to this audiobook in formats: WMA, MPC, MP3, WAV, MPEG4, FLAC (compression TAR.XZ, TAR.GZ, ZIP, BZ, RAR, CBZ)
Total pages original book: 816
Includes a PDF summary of 97 pages
Duration of the summary (audio): 1H12M40S (19.4 MB)
Description or summary of the audiobook: 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 analyzing and interpreting real-world data. Time Series Analysis fills an important need for a textbook that integrates economic theory, econometrics, and new results. The book is intended to provide students and researchers with a self-contained survey of time series analysis. It starts from first principles and should be readily accessible to any beginning graduate student, while it is also intended to serve as a reference book for researchers.
Other categories, genre or collection: Probability & Statistics, Econometrics, Investment & Securities
Download servers: BitShare, MEGA, Mediafire, Dropbox, FlowCloud, Uploadable, Google Drive. Compressed in TAR.XZ, TAR.GZ, ZIP, BZ, RAR, CBZ