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Marginal and Interaction Effects in Ordered Response Models

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Author Info
Mallick, Debdulal

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Abstract

In discrete choice models the marginal effects of a variable that is interacted with another variable and the interaction term differ from the marginal effect of a variable that is not interacted with any variable. Standard software incorrectly estimates these marginal effects. I provide correct formulas for ordered response models that can be extended to other discrete choice models and an example using household survey data on food security in Bangladesh. Results show that marginal effects of the variables interacted and interaction term are estimated by standard software (such as STATA® 10) with large error and even with wrong sign.

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File URL: http://mpra.ub.uni-muenchen.de/9617/
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File URL: http://mpra.ub.uni-muenchen.de/13325/
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Publisher Info
Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 9617.

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Date of creation: Jan 2009
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Handle: RePEc:pra:mprapa:9617

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Related research
Keywords: Marginal effect; interaction effect; ordered probit; discrete choice;

Find related papers by JEL classification:
C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation
C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models

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References listed on IDEAS
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  1. Ai, Chunrong & Norton, Edward C., 2003. "Interaction terms in logit and probit models," Economics Letters, Elsevier, vol. 80(1), pages 123-129, July. [Downloadable!] (restricted)
  2. Stefan Boes & Rainer Winkelmann, 2006. "Ordered response models," AStA Advances in Statistical Analysis, Springer, vol. 90(1), pages 167-181, March. [Downloadable!] (restricted)
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This page was last updated on 2009-11-30.


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