Marginal effects in the probit model with a triple dummy variable interaction term
AbstractIn non-linear regression models, such as the probit model, coefficients cannot be interpreted as marginal effects. The marginal effects are usually non-linear combinations of all regressors and regression coefficients of the model. This paper derives the marginal effects in a probit model with a triple dummy variable interaction term. A frequent application of this model is the regression-based difference-in-difference-in-differences estimator with a binary outcome variable. The formulae derived here are implemented in a Stata program called inteff3 which applies the delta method in order to compute also the standard errors of the marginal effects.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät in its series Diskussionspapiere der Wirtschaftswissenschaftlichen Fakultät der Leibniz Universität Hannover with number dp-386.
Length: 14 pages
Date of creation: Jan 2008
Date of revision:
difference-in-difference-in-differences; probit model; interaction terms; marginal effects; Stata;
Find related papers by JEL classification:
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software
This paper has been announced in the following NEP Reports:
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.:
- Jonathan Gruber & James M. Poterba, 1996.
"Tax Incentives and the Decision to Purchase Health Insurance: Evidence from the Self-Employed,"
NBER Working Papers
4435, National Bureau of Economic Research, Inc.
- Gruber, Jonathan & Poterba, James, 1994. "Tax Incentives and the Decision to Purchase Health Insurance: Evidence from the Self-Employed," The Quarterly Journal of Economics, MIT Press, vol. 109(3), pages 701-33, August.
- Gruber, J. & Poterba, J., 1994. "Tax Incentives and the Decision to Purchase Health Insurance: Evidence from the Self-Employed," Working papers 94-10, Massachusetts Institute of Technology (MIT), Department of Economics.
- Edward C. Norton & Hua Wang & Chunrong Ai, 2004. "Computing interaction effects and standard errors in logit and probit models," Stata Journal, StataCorp LP, vol. 4(2), pages 154-167, June.
- Ai, Chunrong & Norton, Edward C., 2003. "Interaction terms in logit and probit models," Economics Letters, Elsevier, vol. 80(1), pages 123-129, July.
- Thomas Cornelissen & Katja Sonderhof, 2008. "INTEFF3: Stata module to compute partial effects in a probit or logit model with a triple dummy variable interaction term," Statistical Software Components S456903, Boston College Department of Economics, revised 09 Jul 2009.
- Gruber, Jonathan, 1994. "The Incidence of Mandated Maternity Benefits," American Economic Review, American Economic Association, vol. 84(3), pages 622-41, June.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dietrich, Karl).
If references are entirely missing, you can add them using this form.