Skip to main content
Log in

The Limit Distribution of the Bootstrap for the Unit Root Test Statistic when the Residuals are Dependent

  • Original Article
  • Published:
Metrika Aims and scope Submit manuscript

Abstract

In this article, the unit root test for the AR(1) model with dependent residuals is considered. We adopt a bootstrap procedure to bootstrap the residuals with bootstrap sample size m less than the size n of the original sample. Under the assumptions that m → ∞ and m/n → 0, the convergence in probability of the bootstrap distribution function is established.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Arcones M, Giné E (1989) The bootstrap of the mean with arbitrary bootstrap sample size. Ann Inst H Poincaré 22:457–481

    Google Scholar 

  • Arcones M, Giné E (1991) Additions and corrections to the bootstrap of the mean with arbitrary bootstrap sample size. Ann Inst H Poincaré 27:583–595

    MATH  Google Scholar 

  • Basawa IV, Mallik AK, McCormick WP, Taylor RL (1991) Bootstrap test of significance and sequential bootstrap estimation for unstable first-order autoregressive processes. Comm Statist Theory Methods 20:1015–1026

    Article  MATH  MathSciNet  Google Scholar 

  • Billingsley P (1968) Convergence of probability measure. Wiley, New York

    Google Scholar 

  • Chan NH, Tran LT (1989) On the first-order autoregressive process with infinite variance. Econometric Theory 5:354–362

    MathSciNet  Google Scholar 

  • Datta SH (1996) On asymptotic properties of bootstrap for AR(1) processes. J Statist Plann Inference 53:361–374

    Article  MATH  MathSciNet  Google Scholar 

  • Hall P, Heyde CC (1980) Martingale limit theory and its application. Academic Press, New York

    Google Scholar 

  • Horváth L, Kokoszka P (2003) A bootstrap approximation to a unit root test statistic for heavy-tailed observations. Statist Probab Lett 62:163–173

    Article  MATH  MathSciNet  Google Scholar 

  • Lai TL, Wei CZ (1982) Least-squares estimates in stochastic regression model with applications to identification and control of dynamical systems. Ann Statist 10:154–166

    MathSciNet  Google Scholar 

  • Newman CM, Wright AL (1981) An invariance principle for certain dependent sequeces. Ann Probab 9:671–675

    MATH  MathSciNet  Google Scholar 

  • Shao QM (2000) A comparison theorem on moment inqualities. J Theoret Probab 13:343–356

    Article  MATH  MathSciNet  Google Scholar 

  • Su C, Zhao LC, Wang YB (1997) The moment inequalities and weak convergence for negatively associated sequences. Sci China 40(A):172–182

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xiao-Rong Yang.

Additional information

Research supported by National Natural Science Foundation of China (No. 10471126)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zhang, LX., Yang, XR. The Limit Distribution of the Bootstrap for the Unit Root Test Statistic when the Residuals are Dependent. Metrika 65, 195–206 (2007). https://doi.org/10.1007/s00184-006-0070-y

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00184-006-0070-y

Keywords

Navigation