Mallick, Debdulal (2008): Marginal and Interaction Effects in Ordered Response Models.
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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|
|Original Title:||Marginal and Interaction Effects in Ordered Response Models|
|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
|Depositing User:||Debdulal Mallick|
|Date Deposited:||19. Jul 2008 07:27|
|Last Modified:||21. Feb 2013 07:59|
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.
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