Omitted variables and misspecified disturbances in the logit model

Open Access
Authors
Publication date 2005
Series UvA Econometrics Discussion Paper, 2005/05
Number of pages 13
Publisher Amsterdam: Amsterdam School of Economics
Organisations
  • Faculty of Economics and Business (FEB) - Amsterdam School of Economics Research Institute (ASE-RI)
Abstract In binary discrete regression models like logit or probit the omission of a relevant regressor (even if it is orthogonal) depresses the remaining B coefficients towards zero. For the probit model, Wooldridge (2002) has shown that this bias does not carry over to the effect of the regressor on the outcome. We find by simulations that this also holds for logit models, even when the omitted variable leads to severe misspecification of the disturbance. More simulations show that estimates of these effects by logit analysis are also impervious to pure misspecification of the disturbance.
Document type Working paper
Language English
Published at http://www1.feb.uva.nl/pp/bin/490fulltext.pdf
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