Testing Hypotheses About Interaction Terms in Nonlinear Models
We examine the interaction effect in nonlinear models discussed by Ai and Norton (2003). Tests about partial effects and interaction terms are not necessarily informative in the context of the model. We suggest ways to examine the effects that do not involve statistical testing.
(This abstract was borrowed from another version of this item.)
|Date of creation:||2009|
|Date of revision:|
|Contact details of provider:|| Postal: New York University, Leonard N. Stern School of Business, Department of Economics, 44 West 4th Street, New York, NY 10012-1126|
Phone: (212) 998-0860
Fax: (212) 995-4218
Web page: http://w4.stern.nyu.edu/economics/
More information through EDIRC
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.:
- Andreas Million & Regina T. Riphahn & Achim Wambach, 2003. "Incentive effects in the demand for health care: a bivariate panel count data estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(4), pages 387-405.
- Ai, Chunrong & Norton, Edward C., 2003. "Interaction terms in logit and probit models," Economics Letters, Elsevier, vol. 80(1), pages 123-129, July.
When requesting a correction, please mention this item's handle: RePEc:ste:nystbu:09-08. 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: (Viveca Licata)
If references are entirely missing, you can add them using this form.