Mallick, Debdulal (2008): Marginal and Interaction Effects in Ordered Response Models.
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Abstract
In 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.
Item Type: | MPRA Paper |
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Original Title: | Marginal and Interaction Effects in Ordered Response Models |
Language: | English |
Keywords: | Marginal effect, interaction effect, ordered probit |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C12 - Hypothesis Testing: General C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C25 - Discrete Regression and Qualitative Choice Models ; Discrete Regressors ; Proportions ; Probabilities |
Item ID: | 9617 |
Depositing User: | Debdulal Mallick |
Date Deposited: | 19 Jul 2008 07:27 |
Last Modified: | 27 Sep 2019 03:00 |
References: | Ai, C., Norton, E.C., 2003. Interaction Terms in Logit and Probit Models. Economics Letters 80 (1, July), 123-129. Boes, S., Winkelmann, R., 2006. Ordered Response Models. Allgemeines Statistisches Archiv 90 (1, March), 167-181. Spanos, Aris, 1999. Probability Theory and Statistical Inference: Econometric Modeling with Observational Data. Cambridge University Press, New York. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/9617 |
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