Skip to main content

A Rational Interpolation Approach to Least Squares Estimation for Band-TARs

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1988))

Abstract

This paper shows that the residual sum of squares of Band- TAR models is a rational function of degree (4,2) of the threshold parameter. Building on this result a novel fitting approach is proposed which permits a continuous threshold space and employs QR factorizations and Givens updating. Its efficiency gains over a standard grid search are illustrated by Monte Carlo analysis.

We are grateful to Erricos Kontoghiorghes and an anonymous referee for helpful comments.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   109.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Balke, N. S., Fomby, T. B.: Threshold Cointegration. International Economic Review, 38 (1997) 627–45.

    Article  MATH  MathSciNet  Google Scholar 

  2. Björck, A.: Numerical Methods for Least Squares Problems. SIAM, Philadelphia (1996).

    Google Scholar 

  3. Chan, K. S., Tsay, R. S.: Limiting properties of the Least Squares Estimator of a Continuous Threshold Autoregressive Model. Biometrika, 85 (1998) 413–26.

    Article  MATH  MathSciNet  Google Scholar 

  4. Coakley, J., Fuertes, A. M.: Border Costs and Real Exchange Rate Dynamics in Europe. Journal of Policy Modelling, Forthcoming.

    Google Scholar 

  5. Coakley, J., Fuertes, A. M., Pérez, M. T.: An Investigation of Numerical Issues in Threshold Autoregressive Modelling for Time Series. Birkbeck College Discussion Paper, University of London, Forthcoming.

    Google Scholar 

  6. Obstfeld, M., Taylor, A. M. Taylor: Nonlinear Aspects of Goods-market Arbitrage and Adjustment. J. of the Japanese and International Economies, 11 (1997) 441–79.

    Article  Google Scholar 

  7. Tong, H.: Threshold Models in Non-linear Time Series Analysis, Springer-Verlag, Berlin (1983).

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Coakley, J., Ana-María, F., María-Teresa, P. (2001). A Rational Interpolation Approach to Least Squares Estimation for Band-TARs. In: Vulkov, L., Yalamov, P., Waśniewski, J. (eds) Numerical Analysis and Its Applications. NAA 2000. Lecture Notes in Computer Science, vol 1988. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45262-1_24

Download citation

  • DOI: https://doi.org/10.1007/3-540-45262-1_24

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41814-6

  • Online ISBN: 978-3-540-45262-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics