Marginal and Interaction Effects in Ordered Response Models
AbstractIn discrete choice models the marginal effect of a variable of interest that is interacted with another variable differs from the marginal effect of a variable that is not interacted with any variable. The magnitude of the interaction effect is also not equal to the marginal effect of the interaction term. I present consistent estimators of both marginal and interaction effects in ordered response models. This procedure is general and can easily be extended to other discrete choice models.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 9617.
Date of creation: Jul 2008
Date of revision:
Marginal effect; interaction effect; ordered probit;
Other versions of this item:
- Debdulal Mallick, 2008. "Marginal and Interaction Effects in Ordered Response Models," Economics Series 2008_13, Deakin University, Faculty of Business and Law, School of Accounting, Economics and Finance.
- Debdulal Mallick, 2009. "Marginal and Interaction Effects in Ordered Response Models," EERI Research Paper Series EERI_RP_2009_22, Economics and Econometrics Research Institute (EERI), Brussels.
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-07-30 (All new papers)
- NEP-DCM-2008-07-30 (Discrete Choice Models)
- NEP-ECM-2008-07-30 (Econometrics)
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.:
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