A family of empirical likelihood functions and estimators for the binary response model
AbstractThe minimum discrimination information principle is used to identify an appropriate parametric family of probability distributions and the corresponding maximum likelihood estimators for binary response models. Estimators in the family subsume the conventional logit model and form the basis for a set of parametric estimation alternatives with the usual asymptotic properties. Sampling experiments are used to assess finite sample performance.
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Bibliographic InfoArticle provided by Elsevier in its journal Journal of Econometrics.
Volume (Year): 164 (2011)
Issue (Month): 2 (October)
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Web page: http://www.elsevier.com/locate/jeconom
Binary response models and estimators Conditional moment equations Cressie-Read family of likelihood functions Information theoretic methods Minimum power divergence Minimum discrimination information;
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