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1992
Statistical models in which the endogenous random variables take only discrete values are known as discrete, categorical, qualitative — choice, or quanta! response models.1 This class of models was originally developed by psychologists and later adapted and extended by economists for describing consumers choices. These models have numerous applications
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Statistical models in which the endogenous random variables take only discrete values are known as discrete, categorical, qualitative — choice, or quanta! response models.1 This class of models was originally developed by psychologists and later adapted and extended by economists for describing consumers choices. These models have numerous applications
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Linear probability, logit and probit models
, 1984John H. Aldrich, F. Nelson
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Bankruptcy Prediction Using Logit and Genetic Algorithm Models: A Comparative Analysis
Computational Economics, 2016L. Bateni, Farshid Asghari
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The Role of the Scale Parameter in the Estimation and Comparison of Multinomial Logit Models
, 1993J. Swait, J. Louviere
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Logit models and logistic regressions for social networks: I. An introduction to Markov graphs andp
, 1996S. Wasserman, P. Pattison
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