IDEAS home Printed from https://ideas.repec.org/a/oup/restud/v60y1993i1p229-240..html
   My bibliography  Save this article

Information Matrix Test, Parameter Heterogeneity and ARCH: A Synthesis

Author

Listed:
  • Anil K. Bera
  • Sangkyu Lee

Abstract

We apply the White information matrix (IM) test to the linear regression model with autocorrelated errors. A special case of one component of the test is found to be identical to the Engle Lagrange multiplier (LM) test for autoregressive conditional heteroskedasticity (ARCH). Given Chesher's interpretation of the IM test as a test for parameter heterogeneity, this establishes a connection among the IM test, ARCH and parameter variation. This also enables us to specify conditional heteroskedasticity in a more general and convenient way. Other interesting by-products of our analysis are tests for the variation in conditional and static skewness which we call tests for "heterocliticity".

Suggested Citation

  • Anil K. Bera & Sangkyu Lee, 1993. "Information Matrix Test, Parameter Heterogeneity and ARCH: A Synthesis," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(1), pages 229-240.
    • Handle: RePEc:oup:restud:v:60:y:1993:i:1:p:229-240.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.2307/2297820
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

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


    Cited by:

    1. Dark Jonathan Graeme, 2010. "Estimation of Time Varying Skewness and Kurtosis with an Application to Value at Risk," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(2), pages 1-50, March.
    2. Deschamps, P J, 1993. "Joint Tests for Regularity and Autocorrelation in Allocation Systems," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(2), pages 195-211, April-Jun.
    3. Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2022. "Tests for Random Coefficient Variation in Vector Autoregressive Models," Advances in Econometrics, in: Essays in Honour of Fabio Canova, volume 44, pages 1-35, Emerald Group Publishing Limited.
    4. Deschamps, P J, 1993. "Joint Tests for Regularity and Autocorrelation in Allocation Systems," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(2), pages 195-211, April-Jun.
    5. Strijbosch, L.W.G. & Heuts, R.M.J., 1994. "Investigating several alternatives for estimating the lead time demand distribution in a continuous review inventory model," Other publications TiSEM dc1f886c-0122-4da9-9598-8, Tilburg University, School of Economics and Management.
    6. Marwan Elkhoury, 2005. "A Time-Varying Parameter Model of A Monetary Policy Rule for Switzerland. The Case of the Lucas and Friedman Hypothesis," IHEID Working Papers 01-2006, Economics Section, The Graduate Institute of International Studies.
    7. Bera, Anil K. & Kim, Sangwhan, 2002. "Testing constancy of correlation and other specifications of the BGARCH model with an application to international equity returns," Journal of Empirical Finance, Elsevier, vol. 9(2), pages 171-195, March.
    8. Gómez-Déniz, E., 2004. "A note on mixture prior distributions with applications in actuarial statistic/Sobre las Distribuciones a Priori Mixtas con Aplicaciones en la Estadística Actuarial," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 22, pages 372(15á)-37, Agosto.

    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:oup:restud:v:60:y:1993:i:1:p:229-240.. 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: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/restud .

    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.