The New Palgrave Dictionary of Economics

2018 Edition
| Editors: Macmillan Publishers Ltd

Logit Models of Individual Choice

  • Thierry Magnac
Reference work entry


The logit model was named by Berkson after probit, its close competitor; the two are the most popular econometric methods used in applied work to estimate models for binary variables. It can be easily extended to the treatment of multinomial variables and enjoys specific properties in panel data binary models. Increasingly flexible logit models have also been elaborated for demand analyses. Their development has been stimulated by the increasing availability of databases on individual discrete choices. Because generalized logit models belong to the class of random utility models, their use has promoted sound applied economic research in demand analysis.


Asymptotic least squares Conditional likelihood Discrete choices General extreme value distributions Generalized linear models Incidental parameters Independence of irrelevant alternatives Logit models of individual choice Maximum likelihood Method of moments Minimum distance Mixture models Probit models Random utility models Simulation methods Spatial statistics Statistical mechanics Two-level nested logit 

JEL Classifications

C25 C35 D11 
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© Macmillan Publishers Ltd. 2018

Authors and Affiliations

  • Thierry Magnac
    • 1
  1. 1.