Advanced Search
MyIDEAS: Login

Resampling methods for tests in regression models with autocorrelated errors

Contents:

Author Info

  • Rayner, Robert K.
Registered author(s):

    Abstract

    No abstract is available for this item.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://www.sciencedirect.com/science/article/B6V84-458WMW4-8C/2/057854aef494de7f1daf34f1258794c2
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Bibliographic Info

    Article provided by Elsevier in its journal Economics Letters.

    Volume (Year): 36 (1991)
    Issue (Month): 3 (July)
    Pages: 281-284

    as in new window
    Handle: RePEc:eee:ecolet:v:36:y:1991:i:3:p:281-284

    Contact details of provider:
    Web page: http://www.elsevier.com/locate/ecolet

    Related research

    Keywords:

    References

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
    as in new window
    1. Park, Rolla Edward & Mitchell, Bridger M., 1980. "Estimating the autocorrelated error model with trended data," Journal of Econometrics, Elsevier, vol. 13(2), pages 185-201, June.
    2. Rayner, Robert K, 1990. "Bootstrapping p Values and Power in the First-Order Autoregression: A Monte Carlo Investigation," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(2), pages 251-63, April.
    3. Hashimoto, Noriko, 1989. "Small sample properties of modified Prais-Winston estimators in hypothesis testing in a linear model with ar(1) errors," Economics Letters, Elsevier, vol. 29(2), pages 147-152.
    4. Rayner, Robert K., 1990. "Bootstrap tests for generalized least squares regression models," Economics Letters, Elsevier, vol. 34(3), pages 261-265, November.
    5. Ohtani, Kazuhiro, 1990. "On estimating and testing in a linear regression model with autocorrelated errors," Journal of Econometrics, Elsevier, vol. 44(3), pages 333-346, June.
    6. Magee, Lonnie, 1989. "An Edgeworth Test Size Correction for the Linear Model with AR(1) Errors," Econometrica, Econometric Society, vol. 57(3), pages 661-74, May.
    7. Kwok, Ben & Veall, Michael R., 1988. "The jackknife and regression with AR(1) errors," Economics Letters, Elsevier, vol. 26(3), pages 247-252.
    8. Maddala, G S & Rao, A S, 1973. "Tests for Serial Correlation in Regression Models with Lagged Dependent Variables and Serially Correlated Errors," Econometrica, Econometric Society, vol. 41(4), pages 761-74, July.
    9. Rothenberg, Thomas J, 1984. "Approximate Normality of Generalized Least Squares Estimates," Econometrica, Econometric Society, vol. 52(4), pages 811-25, July.
    10. Rothenberg, Thomas J, 1988. "Approximate Power Functions for Some Robust Tests of Regression Coefficients," Econometrica, Econometric Society, vol. 56(5), pages 997-1019, September.
    11. Maeshiro, Asatoshi, 1979. "On the Retention of the First Observations in Serial Correlation Adjustment of Regression Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 20(1), pages 259-65, February.
    12. Veall, Michael R., 1986. "Bootstrapping regression estimators under first-order serial correlation," Economics Letters, Elsevier, vol. 21(1), pages 41-44.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as in new window

    Cited by:
    1. Jae Kim & Mahbuba Yeasmin, 2005. "The Size and Power of the Bias-Corrected Bootstrap Test for Regression Models with Autocorrelated Errors," Computational Economics, Society for Computational Economics, vol. 25(3), pages 255-267, June.
    2. repec:ebl:ecbull:v:3:y:2005:i:44:p:1-8 is not listed on IDEAS
    3. Li, Hongyi & Maddala, G. S., 1997. "Bootstrapping cointegrating regressions," Journal of Econometrics, Elsevier, vol. 80(2), pages 297-318, October.
    4. Jae Kim, 2005. "Bias-Corrected Bootstrap Inference for Regression Models with Autocorrelated Errors," Economics Bulletin, AccessEcon, vol. 3(44), pages 1-8.

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:eee:ecolet:v:36:y:1991:i:3:p:281-284. 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: (Zhang, Lei).

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 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.