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Analysis of integrated and cointegrated time series with R Pfaff, Bernhard

By: Material type: TextTextSeries: Use RPublication details: New York Springer 2006Description: xi, 139 p., ill. ; 24 cmISBN:
  • 9780387279596
Subject(s): DDC classification:
  • 330.015195
Summary: "The analysis of integrated and cointegrated time series can be considered as the main methodology employed in applied econometrics. This book not only introduces readers to this topic but also enables them to conduct the various unit root tests and cointe ration methods by utilizing the free statistical programming environment R. The book encompasses seasonal unit roots, fractional integration, coping with structural breaks, and inference in co-integrated vector autoregressive models. The book is enriched by numerous programming examples to artificial and real data so that it is suitable as a supplementary text for computer lab classes. Bernhard Pfaff studied economics at the universities of Gttingen, Germany; Davis, California; and Freiburg im Breisgau, Germany. He obtained a diploma and a doctorate degree at the economics department of the last one where he was employed as a research and teaching assistant. He has worked for many years as economist and quantitative analyst in research departments of financial institutions. Bernhard Pfaff is the author and maintainer of the contributed R package ""urca""."
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Item type Current library Call number Status Date due Barcode Item holds
Book Book Ahmedabad 330.015195 P3A6 (Browse shelf(Opens below)) Available 161828
Total holds: 0

Includes bibliographical references (p. [127]-132) and indexes

"The analysis of integrated and cointegrated time series can be considered as the main methodology employed in applied econometrics. This book not only introduces readers to this topic but also enables them to conduct the various unit root tests and cointe
ration methods by utilizing the free statistical programming environment R. The book encompasses seasonal unit roots, fractional integration, coping with structural breaks, and inference in co-integrated vector autoregressive models. The book is enriched by numerous programming examples to artificial and real data so that it is suitable as a supplementary text for computer lab classes. Bernhard Pfaff studied economics at the universities of Gttingen, Germany; Davis, California; and Freiburg im Breisgau, Germany. He obtained a diploma and a doctorate degree at the economics department of the last one where he was employed as a research and teaching assistant. He has worked for many years as economist and quantitative analyst in research departments of financial institutions. Bernhard Pfaff is the author and maintainer of the contributed R package ""urca""."

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