Table of contents

  1. Front Matter
    Pages i-xx
  2. Theoretical Concepts

  3. Unit Root Tests

  4. Cointegration

  5. Back Matter
    Pages 161-188

About this book

Introduction

The analysis of integrated and co-integrated 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 co-integration methods on his own by utilizing the free statistical programming environment R. The book encompasses seasonal unit roots, fractional integration, coping with structural breaks, and multivariate time series models. The book is enriched by numerous programming examples to artificial and real data so that it is ideally suited as an accompanying text book to computer lab classes.

The second edition adds a discussion of vector auto-regressive, structural vector auto-regressive, and structural vector error-correction models. To analyze the interactions between the investigated variables, further impulse response function and forecast error variance decompositions are introduced as well as forecasting. The author explains how these model types relate to each other.

Keywords

Co-integration Computer SVEC models Time series VAR VEC Variance calculus econometrics fractional integration programming unit roots

Authors and affiliations

  • Bernhard Pfaff
    • 1
  1. 1.Kronberg im TaunusGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-75967-8
  • Copyright Information Springer-Verlag New York 2008
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-0-387-75966-1
  • Online ISBN 978-0-387-75967-8
  • About this book