IDEAS home Printed from https://ideas.repec.org/a/bpj/jtsmet/v7y2015i1p31n4.html
   My bibliography  Save this article

Tapered Block Bootstrap for Unit Root Testing

Author

Listed:
  • Parker Cameron C.

    (Department of Mathematics and Computer Science, University of San Diego, 5998 Alcala Park, San Diego, CA 92110, USA)

  • Paparoditis Efstathios

    (Department of Mathematics and Statistics, University of Cyprus, Nicosia, Cyprus)

  • Politis Dimitris

    (Department of Mathematics, University of California, San Diego, CA, USA)

Abstract

A new bootstrap procedure for unit root testing based on the tapered block bootstrap is introduced. This procedure is similar to previous tests that were based on the block bootstrap and stationary bootstrap, but it has the advantage of the tapering procedure that has been previously shown to reduce the bias of the variance estimator by an order of magnitude. In this paper, the procedure is defined including a specific data-driven method for choosing the block size. Both theoretical results for the asymptotic behavior of the test and simulations that address the small-sample properties and are used for comparison to other methods are given.

Suggested Citation

  • Parker Cameron C. & Paparoditis Efstathios & Politis Dimitris, 2015. "Tapered Block Bootstrap for Unit Root Testing," Journal of Time Series Econometrics, De Gruyter, vol. 7(1), pages 37-67, January.
    • Handle: RePEc:bpj:jtsmet:v:7:y:2015:i:1:p:31:n:4
    DOI: 10.1515/jtse-2013-0033
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/jtse-2013-0033
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.
    File URL: https://libkey.io/10.1515/jtse-2013-0033?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. John Y. Campbell & Pierre Perron, 1991. "Pitfalls and Opportunities: What Macroeconomists Should Know about Unit Roots," NBER Chapters, in: NBER Macroeconomics Annual 1991, Volume 6, pages 141-220, National Bureau of Economic Research, Inc.
    2. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521770415, June.
    3. West, Kenneth D, 1988. "Asymptotic Normality, When Regressors Have a Unit Root," Econometrica, Econometric Society, vol. 56(6), pages 1397-1417, November.
    4. Evangelos E. Ioannidis, 2005. "Residual-based block bootstrap unit root testing in the presence of trend breaks," Econometrics Journal, Royal Economic Society, vol. 8(3), pages 323-351, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Podivinsky, Jan M. & King, Maxwell L., 2000. "The exact power envelope of tests for a unit root," Discussion Paper Series In Economics And Econometrics 0026, Economics Division, School of Social Sciences, University of Southampton.
    2. Podivinsky, Jan M. & King, Maxwell L., 2000. "The exact power envelope of tests for a unit root," Discussion Paper Series In Economics And Econometrics 26, Economics Division, School of Social Sciences, University of Southampton.
    3. Ogaki, Masao & Park, Joon Y., 1997. "A cointegration approach to estimating preference parameters," Journal of Econometrics, Elsevier, vol. 82(1), pages 107-134.
    4. Martin D. Evans & Karen K. Lewis, 1992. "Peso Problems and Heterogeneous Trading: Evidence From Excess Returns in Foreign Exchange and Euromarkets," NBER Working Papers 4003, National Bureau of Economic Research, Inc.
    5. Han, Hsiang-Ling & Ogaki, Masao, 1997. "Consumption, income and cointegration," International Review of Economics & Finance, Elsevier, vol. 6(2), pages 107-117.
    6. Perron, Pierre, 1992. "Racines unitaires en macroéconomie : le cas d’une variable," L'Actualité Economique, Société Canadienne de Science Economique, vol. 68(1), pages 325-356, mars et j.
    7. Taylor, Mark P. & Sarno, Lucio, 1998. "The behavior of real exchange rates during the post-Bretton Woods period," Journal of International Economics, Elsevier, vol. 46(2), pages 281-312, December.
    8. Kakkar, Vikas & Ogaki, Masao, 1999. "Real exchange rates and nontradables: A relative price approach," Journal of Empirical Finance, Elsevier, vol. 6(2), pages 193-215, April.
    9. Jaebeom Kim & Masao Ogaki & Minseok Yang, 2003. "Structural Error Correction Models: Instrumental Variables Methods and an application to an exchange rate model," RCER Working Papers 502, University of Rochester - Center for Economic Research (RCER).
    10. Strauß, Hubert, 2002. "Multivariate Cointegration Analysis of Aggregate Exports: Empirical Evidence for the United States, Canada, and Germany," Kiel Working Papers 1101, Kiel Institute for the World Economy (IfW Kiel).
    11. Matteo Mogliani, 2010. "Residual-based tests for cointegration and multiple deterministic structural breaks: A Monte Carlo study," Working Papers halshs-00564897, HAL.
    12. Hendry, David F. & Clements, Michael P., 2003. "Economic forecasting: some lessons from recent research," Economic Modelling, Elsevier, vol. 20(2), pages 301-329, March.
    13. Diego Comin, 2004. "R&D: A Small Contribution to Productivity Growth," Journal of Economic Growth, Springer, vol. 9(4), pages 391-421, December.
    14. Juan Carlos Cuestas, 2009. "Purchasing power parity in Central and Eastern European countries: an analysis of unit roots and nonlinearities," Applied Economics Letters, Taylor & Francis Journals, vol. 16(1), pages 87-94.
    15. Bhattacharya, Prasad S. & Thomakos, Dimitrios D., 2008. "Forecasting industry-level CPI and PPI inflation: Does exchange rate pass-through matter?," International Journal of Forecasting, Elsevier, vol. 24(1), pages 134-150.
    16. Marfatia, Hardik A., 2015. "Monetary policy's time-varying impact on the US bond markets: Role of financial stress and risks," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 103-123.
    17. Campbell, John Y & Kim, Sangjoon & Lettau, Martin, 1998. "Dispersion and Volatility in Stock Returns: An Empirical Investigation," CEPR Discussion Papers 1923, C.E.P.R. Discussion Papers.
    18. Westerlund, Joakim, 2003. "Feasible Estimation in Cointegrated Panels," Working Papers 2003:12, Lund University, Department of Economics, revised 10 Nov 2003.
    19. Ataurima Arellano, Miguel & Rodríguez, Gabriel, 2020. "Empirical modeling of high-income and emerging stock and Forex market return volatility using Markov-switching GARCH models," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    20. Mohamed CHIKHI & Claude DIEBOLT, 2022. "Testing the weak form efficiency of the French ETF market with the LSTAR-ANLSTGARCH approach using a semiparametric estimation," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 13, pages 228-253, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bpj:jtsmet:v:7:y:2015:i:1:p:31:n:4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.