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Book
Preface
Contents
Sample Chapter
Examples
Reviews
Errata
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The analysis of integrated and cointegrated time series can be considered as
the main methodology employed in applied econometrics. This book not only
introduces the reader to this topic but enables him to conduct the various
unit root tests and cointegration methods on his own by utilising the
free statistical programming environment R. The book encompasses
seasonal unit roots, fractional integration, coping with structural breaks and
inference in cointegrated vector autoregressive models as well. The book is
enriched by numerous programming examples to artificial and real data such
that it is ideally suited as an accompanying text book to computer lab
classes.
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Preface
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Contents
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Chapter 2
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Examples of the first edition
Examples of the second edition
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First edition:
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Schlittgen, Rainer (2006), "Bernhard Pfaff Analysis of Integrated and
Cointegrated Time Series with R", Allgemeines Statistisches Archiv , Vol. 90(3), 486-487.
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O'Brian, C.M. (2006), "Analysis of Integrated and
Cointegrated Time Series with R", Publication of the International
Statistical Institute, Short Book Reviews, editor: Herzberg, A.M., Vol. 26(2).
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Harvill, J.L. (2007), "Analysis of Integrated and
Cointegrated Time Series with R", JASA, 102(477), 389-90.
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Reviews of the Week, 26, November 16, 2007, "Bernhard Pfaff
Analysis of Integrated and Cointegrated Time Series with R",
reprinted from Journal of Applied Statistics, October 2007.
Second edition:
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Eddelbuettel, D. (2009), "Analysis of Integrated and
Cointegrated Time Series with R (2nd Edition)", Journal of
Statistical Software, 30(5), 1-2,
URL:
http://www.jstatsoft.org/v30/b05.
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Scott, D.J. (2009), "Analysis of Integrated and Cointegrated Time
Series with R, Second Edition", International Statistical
Review, 77(1), 164-165.
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- Table 3.3 on page 49:
In table header it should read: "5%" instead of "5&".
- First paragraph, first sentence on page 49:
It should read: "cannot be rejected" instead of "has to be rejected".
- Table 4.15 on page 69:
critical values for 1% and 10% should be interchanged.
- Formula 7.1 on page 97:
It should read Δ yt = ... instead of yt = ...
- Formula (3.5) on page 55:
It should on the right hand side of the formula: εs.
- R Code 4.2 on page 77:
Line 8 should read as: error.lagged <- error[-c(1, 100)]
- Formula 8.1 on page 129:
It should read Δ yt = ... instead of yt = ...
If you have be detected a typo, mistake or error in the book please report it
to the author by employing the contact
form. Criticism as well as suggestions for future editions are welcome too.
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