IDEAS home Printed from https://ideas.repec.org/a/sae/somere/v13y1984i2p155-200.html
   My bibliography  Save this article

Network Autocorrelation Models

Author

Listed:
  • PATRICK DOREIAN

    (University of Pittsburgh)

  • KLAUS TEUTER

    (University of Pittsburgh)

  • CHI-HSEIN WANG

    (University of Pittsburgh)

Abstract

For network effects models of network autocorrelation we use Monte Carlo methods to study the relative properties of three estimation methods. The methods are the iterative maximum likelihood estimation (Ord, 1975; Doreian, 1981), ordinary least squares, and a regression-based “quick and dirty†substitution for iterative MLE. Of the three, OLS is clearly the inferior estimation method and MLE the superior method. We recommend the use of the maximum likelihood method when network autocorrelation models are to be estimated.

Suggested Citation

  • Patrick Doreian & Klaus Teuter & Chi-Hsein Wang, 1984. "Network Autocorrelation Models," Sociological Methods & Research, , vol. 13(2), pages 155-200, November.
    • Handle: RePEc:sae:somere:v:13:y:1984:i:2:p:155-200
    DOI: 10.1177/0049124184013002001
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0049124184013002001
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0049124184013002001?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
    ---><---

    References listed on IDEAS

    as
    1. Ronald Burt & Patrick Doreian, 1982. "Testing a structural model of perception: Conformity and deviance with respect to Journal norms in elite sociological methodology," Quality & Quantity: International Journal of Methodology, Springer, vol. 16(2), pages 109-150, April.
    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. Tan, David & Roberts, Peter W., 2010. "Categorical coherence, classification volatility and examiner-added citations," Research Policy, Elsevier, vol. 39(1), pages 89-102, February.

    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:sae:somere:v:13:y:1984:i:2:p:155-200. 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: SAGE Publications (email available below). General contact details of provider: .

    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.