Nonstationary Time Series Analysis and Cointegration

By Colin P. Hargreaves | Go to book overview

7
Cointegration, seasonality, encompassing, and the demand for money in the UK

Neil R. Ericsson, David F. Hendry and Hong-Anh Tran*

Virtually all previous narrow money demand studies for the United Kingdom have used seasonally adjusted data for money, prices and expenditure. This paper develops a constant, data-coherent M1 demand equation for the United Kingdom with seasonally unadjusted data. For that model, we address issues of cointegra-tion, error correction, general-to-specific modelling, dynamic specification, model evaluation and testing, parameter constancy and exogeneity. We also establish theoretical and empirical relationships between seasonally adjusted and unadjusted data, and so between models using those data. Finally, we derive and implement encompassing tests for comparing models using adjusted data with models using unadjusted data. Unlike the 'standard' encompassing framework, variance dominance is not always a necessary condition for encompassing.


1. INTRODUCTION

Wallis ( 1974) and Sims ( 1974) examine the effects of seasonal adjustment when estimating econometric relationships. Wallis considers the implications of estimation with seasonally adjusted data when the underlying economic relation involves the unadjusted data. Sims investigates the converse situation, in which the

____________________
*
Financial support from the U.K. Economic and Social Research Council under grant R000233447 is gratefully acknowledged by both authors. We are indebted to Nell Ericsson for helpful comments.

-179-

Notes for this page

Add a new note
If you are trying to select text to create highlights or citations, remember that you must now click or tap on the first word, and then click or tap on the last word.
One moment ...
Default project is now your active project.
Project items

Items saved from this book

This book has been saved
Highlights (0)
Some of your highlights are legacy items.

Highlights saved before July 30, 2012 will not be displayed on their respective source pages.

You can easily re-create the highlights by opening the book page or article, selecting the text, and clicking “Highlight.”

Citations (0)
Some of your citations are legacy items.

Any citation created before July 30, 2012 will labeled as a “Cited page.” New citations will be saved as cited passages, pages or articles.

We also added the ability to view new citations from your projects or the book or article where you created them.

Notes (0)
Bookmarks (0)

You have no saved items from this book

Project items include:
  • Saved book/article
  • Highlights
  • Quotes/citations
  • Notes
  • Bookmarks
Notes
Cite this page

Cited page

Style
Citations are available only to our active members.
Sign up now to cite pages or passages in MLA, APA and Chicago citation styles.

(Einhorn, 1992, p. 25)

(Einhorn 25)

1

1. Lois J. Einhorn, Abraham Lincoln, the Orator: Penetrating the Lincoln Legend (Westport, CT: Greenwood Press, 1992), 25, http://www.questia.com/read/27419298.

Cited page

Bookmark this page
Nonstationary Time Series Analysis and Cointegration
Table of contents

Table of contents

  • Title Page iii
  • Contents v
  • List of Figures vii
  • List of Tables xiii
  • List of Contributors xv
  • Foreword xvii
  • 1 - Introduction 1
  • References 8
  • 2 - Towards a Theory of Economic Forecasting 9
  • Appendix 48
  • References 50
  • 3 - Bayes Models and Forecasts of Australian Macroeconomic Time Series 53
  • References 86
  • 4 - A Review of Methods of Estimating Cointegrating Relationships 87
  • References 129
  • 5 - A Test of the Null Hypothesis of Cointegration 133
  • References 151
  • 6 - Modelling Seasonal Variation 153
  • References 176
  • 7 - Cointegration, Seasonality, Encompassing, and the Demand for Money in the Uk 179
  • Appendix A. the Data 214
  • Appendix B. Sequential Reduction Analysis 216
  • References 220
  • 8 - Evaluating a Real Business Cycle Model 225
  • Appendix 252
  • References 254
  • 9 - Misspecification Versus Bubbles in the Cagan Hyperinflation Model 257
  • References 281
  • 10 Regime Switching with Time-Varying Transition Probabilities 283
  • Appendix 299
  • References 302
  • Name Index 303
  • Subject Index 307
Settings

Settings

Typeface
Text size Smaller Larger Reset View mode
Search within

Search within this book

Look up

Look up a word

  • Dictionary
  • Thesaurus
Please submit a word or phrase above.
Print this page

Print this page

Why can't I print more than one page at a time?

Full screen
/ 310

matching results for page

Cited passage

Style
Citations are available only to our active members.
Sign up now to cite pages or passages in MLA, APA and Chicago citation styles.

"Portraying himself as an honest, ordinary person helped Lincoln identify with his audiences." (Einhorn, 1992, p. 25).

"Portraying himself as an honest, ordinary person helped Lincoln identify with his audiences." (Einhorn 25)

"Portraying himself as an honest, ordinary person helped Lincoln identify with his audiences."1

1. Lois J. Einhorn, Abraham Lincoln, the Orator: Penetrating the Lincoln Legend (Westport, CT: Greenwood Press, 1992), 25, http://www.questia.com/read/27419298.

Cited passage

Welcome to the new Questia Reader

The Questia Reader has been updated to provide you with an even better online reading experience.  It is now 100% Responsive, which means you can read our books and articles on any sized device you wish.  All of your favorite tools like notes, highlights, and citations are still here, but the way you select text has been updated to be easier to use, especially on touchscreen devices.  Here's how:

1. Click or tap the first word you want to select.
2. Click or tap the last word you want to select.

OK, got it!

Thanks for trying Questia!

Please continue trying out our research tools, but please note, full functionality is available only to our active members.

Your work will be lost once you leave this Web page.

For full access in an ad-free environment, sign up now for a FREE, 1-day trial.

Already a member? Log in now.