IDEAS home Printed from https://ideas.repec.org/p/ecm/latm04/25.html
   My bibliography  Save this paper

Subsampling Hypothesis Tests for Nonstationary Panels with Applications to the PPP Hypothesis

Author

Listed:
  • Timothy Chu
  • In Choi

Abstract

This paper studies subsampling hypothesis tests for panel data that are possibly nonstationary, and cross-sectionally correlated and cross-sectionally cointegrated. The tests include panel unit root and cointegration tests as special cases. The number of cross-sectional units in the panel data is assumed to be finite, and that of time series observations infinite. Cross-sectional correlation is allowed for both regressors and error terms. Two types of subsampling, non-centered and centered, are considered. It is shown that empirical distributions using subsamples uniformly converge to corresponding limiting distributions. For the non-centered subsampling, the result is shown in the mode of almost sure convergence and discontinuous limiting distributions are allowed. For the centered subsampling, the uniform convergence result is obtained in the mode of convergence in probability and only for continuous limiting distributions. Test consistency using the critical values from the empirical distributions is also established. These results are applied to panel unit root and stationarity tests. The panel unit root tests considered are Levin, Lin and Chu (2002)'s t-test, Im, Pesaran and Shin's (2003) averaged t-test and Choi's (2001) Z test. For the null of stationarity, Hadri's (2000) test is used. Block sizes of subsamples are chosen by stochastic calibration. Simulation results show that the subsampling distributions of the panel unit root tests using the stochastic calibration provide reasonably good approximations to the finite sample distributions of the tests

Suggested Citation

  • Timothy Chu & In Choi, 2004. "Subsampling Hypothesis Tests for Nonstationary Panels with Applications to the PPP Hypothesis," Econometric Society 2004 Latin American Meetings 25, Econometric Society.
  • Handle: RePEc:ecm:latm04:25
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Carmen M. Reinhart & Kenneth S. Rogoff & Miguel A. Savastano, 2003. "Debt Intolerance," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 34(1), pages 1-74.
    2. Missale, Alessandro & Giavazzi, Francesco & Benigno, Pierpaolo, 2002. " How Is the Debt Managed? Learning from Fiscal Stabilizations," Scandinavian Journal of Economics, Wiley Blackwell, vol. 104(3), pages 443-469, September.
    3. repec:rus:hseeco:123922 is not listed on IDEAS
    4. Bevilaqua, Afonso S & Garcia, Marcio G P, 2002. "Debt Management in Brazil: Evaluation of the Real Plan and Challenges Ahead," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 7(1), pages 15-35, January.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    subsampling; panel data; unit root; stationarity;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    Statistics

    Access and download statistics

    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:ecm:latm04:25. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F. Baum). General contact details of provider: http://edirc.repec.org/data/essssea.html .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.