IDEAS home Printed from https://ideas.repec.org/a/bla/jorssc/v29y1980i2p142-148.html
   My bibliography  Save this article

Testing the Constancy of Regression Relationships Over Time Using Least Squares Residuals

Author

Listed:
  • B. P. M. McCabe
  • M. J. Harrison

Abstract

A test of the stability over time of the coefficients of a linear regression model is developed using the cumulative sum (cusum) of squares of the ordinary least squares residuals. An example of the application of the test is given. The power of the test under two systems of coefficient variation is examined using Monte Carlo simulation and compared with the power of the original Brown–Durbin–Evans variant of the test based on recursive residuals.

Suggested Citation

  • B. P. M. McCabe & M. J. Harrison, 1980. "Testing the Constancy of Regression Relationships Over Time Using Least Squares Residuals," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 29(2), pages 142-148, June.
  • Handle: RePEc:bla:jorssc:v:29:y:1980:i:2:p:142-148
    DOI: 10.2307/2986299
    as

    Download full text from publisher

    File URL: https://doi.org/10.2307/2986299
    Download Restriction: no

    File URL: https://libkey.io/10.2307/2986299?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
    ---><---

    Citations

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


    Cited by:

    1. Olmo, Jose & Pilbeam, Keith & Pouliot, William, 2011. "Detecting the presence of insider trading via structural break tests," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2820-2828, November.
    2. Watson, G. S., 1995. "Detecting a change in the intercept in multiple regression," Statistics & Probability Letters, Elsevier, vol. 23(1), pages 69-72, April.
    3. repec:cty:dpaper:09/10 is not listed on IDEAS
    4. Deng, Ai & Perron, Pierre, 2008. "The Limit Distribution Of The Cusum Of Squares Test Under General Mixing Conditions," Econometric Theory, Cambridge University Press, vol. 24(3), pages 809-822, June.
    5. Anders Westlund, 1984. "Sequential moving sums of squares of OLS residuals in parameter stability testing," Quality & Quantity: International Journal of Methodology, Springer, vol. 18(3), pages 261-273, May.
    6. Nielsen, Bent & Sohkanen, Jouni S., 2011. "Asymptotic Behavior Of The Cusum Of Squares Test Under Stochastic And Deterministic Time Trends," Econometric Theory, Cambridge University Press, vol. 27(4), pages 913-927, August.
    7. Deng, Ai & Perron, Pierre, 2008. "A non-local perspective on the power properties of the CUSUM and CUSUM of squares tests for structural change," Journal of Econometrics, Elsevier, vol. 142(1), pages 212-240, January.
    8. Saima Siddiqui & Sameena Zehra & Sadia Majeed & Muhammad Sabihuddin Butt, 2008. "Export-Led Growth Hypothesis in Pakistan: A Reinvestigation Using the Bounds Test," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 13(2), pages 59-80, Jul-Dec.
    9. Perron, Pierre & Yabu, Tomoyoshi, 2009. "Estimating deterministic trends with an integrated or stationary noise component," Journal of Econometrics, Elsevier, vol. 151(1), pages 56-69, July.
    10. Banerjee, Anindya & Lumsdaine, Robin L & Stock, James H, 1992. "Recursive and Sequential Tests of the Unit-Root and Trend-Break Hypotheses: Theory and International Evidence," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(3), pages 271-287, July.
    11. Lee, B.M.S. & Bui-Lan, Anh, 1982. "Use Of Errors Of Prediction In Improving Forecast Accuracy: An Application To Wool In Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 26(1), pages 1-14, April.
    12. Rao, Yao & McCabe, Brendan, 2017. "Is MORE LESS? The role of data augmentation in testing for structural breaks," Economics Letters, Elsevier, vol. 155(C), pages 131-134.
    13. Olmo, J. & Pilbeam, K. & Pouliot, W., 2009. "Detecting the Presence of Informed Price Trading Via Structural Break Tests," Working Papers 10.1016/j.jbankfin.2011.0, Department of Economics, City University London.
    14. Yao Rao & Brendan McCabe, 2020. "Structural Change and the Problem of Phantom Break Locations," Manchester School, University of Manchester, vol. 88(1), pages 211-228, January.
    15. Nielsen, Bent & Sohkanen, Jouni S., 2011. "Asymptotic Behavior Of The Cusum Of Squares Test Under Stochastic And Deterministic Time Trends," Econometric Theory, Cambridge University Press, vol. 27(04), pages 913-927, August.

    More about this item

    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:bla:jorssc:v:29:y:1980:i:2:p:142-148. 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.

    We have no bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/rssssea.html .

    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.