IDEAS home Printed from https://ideas.repec.org/a/bla/obuest/v77y2015i4p605-616.html
   My bibliography  Save this article

The Relative Performance of Poisson and Negative Binomial Regression Estimators

Author

Listed:
  • Mckinley L. Blackburn

Abstract

type="main" xml:id="obes12074-abs-0001"> Negative binomial estimators are commonly used in estimating models with count-data dependent variables. In this paper, sampling experiments are used to evaluate the performance of these estimators relative to the simpler Poisson estimator in finite-sample situations. The results do not suggest a clear preference for negative binomial estimators in situations in which the underlying dependent variables are overdispersed, unless the researcher is comfortable in assumptions about the precise form of the overdispersion.

Suggested Citation

  • Mckinley L. Blackburn, 2015. "The Relative Performance of Poisson and Negative Binomial Regression Estimators," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(4), pages 605-616, August.
    • Handle: RePEc:bla:obuest:v:77:y:2015:i:4:p:605-616
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/obes.2015.77.issue-4
    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. Micheels, Eric T. & Nolan, James F., 2016. "Examining the effects of absorptive capacity and social capital on the adoption of agricultural innovations: A Canadian Prairie case study," Agricultural Systems, Elsevier, vol. 145(C), pages 127-138.
    2. Aaron Chalfin & Michael LaForest & Jacob Kaplan, 2021. "Can Precision Policing Reduce Gun Violence? Evidence from “Gang Takedowns” in New York City," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(4), pages 1047-1082, September.

    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:obuest:v:77:y:2015:i:4:p:605-616. 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/sfeixuk.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.