Unit Root Tests in Time Series Volume 1: Key Concepts and Problems by K. Patterson

Unit Root Tests in Time Series Volume 1: Key Concepts and Problems

byK. Patterson

Hardcover | February 25, 2011

not yet rated|write a review

Pricing and Purchase Info

$162.91 online 
$247.00 list price save 34%
Earn 815 plum® points

In stock online

Ships free on orders over $25

Not available in stores

about

Testing for a unit root is now an essential part of time series analysis. This volume provides a critical overview and assessment of tests for a unit root in time series, developing the concepts necessary to understand the key theoretical and practical models in unit root testing.

About The Author

KERRY PATTERSON is Professor of Econometrics at the University of Reading, UK. He has established an international reputation in econometrics and has published over 50 articles in leading journals, including the Journal of the Royal Statistical Society, the Review of Economics and Statistics, the Economic Journal and the International...
The Moores Are Missing
The Moores Are Missing

by James Patterson

$11.84$12.99

In stock online

Available in stores

The Store
The Store

by James Patterson

$21.00$35.00

In stock online

Available in stores

Shop this author

Details & Specs

Title:Unit Root Tests in Time Series Volume 1: Key Concepts and ProblemsFormat:HardcoverDimensions:516 pages, 9.02 × 5.98 × 0.07 inPublished:February 25, 2011Publisher:Palgrave Macmillan UKLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0230250246

ISBN - 13:9780230250246

Customer Reviews of Unit Root Tests in Time Series Volume 1: Key Concepts and Problems

Reviews

Extra Content

Table of Contents

Preface
Introduction to Random Walks and Brownian Motion
Why Distinguish Between Trend Stationary and Difference Stationary Processes?
An Introduction to ARMA Models
Bias and Bias Reduction in AR Models
Confidence Intervals in AR Models
Dickey-Fuller and Related Tests
Improving the Power of Unit Root Tests
Bootstrap Unit Root Tests
Lag Selection and Multiple Tests
Testing for Two (or More) Unit Roots
Tests with Stationarity As the Null Hypothesis
Combining Tests and Constructing Confidence Intervals
Unit Root Tests for Seasonal Data
Appendix 1: Random Variables
Appendix 2: The Lag Operator and Lag Polynomials
References
Author Index
Subject Index