Abstract
The logit function is the reciprocal function to the sigmoid logistic function. It maps the interval [0,1] into the real line and is written as
Two traditions are involved in the modern theory of logit models of individual choices. The first one concerns curve fitting as exposed by Berkson (1944), who coined the term ‘logit’ after its close competitor ‘probit’ which is derived from the normal distribution. Both models are by far the most popular econometric methods used in applied work to estimate models for binary variables, even though the development of semiparametric and nonparametric alternatives since the mid-1970s has been intensive (Horowitz and Savin, 2001).
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Magnac, T. (2010). Logit Models of Individual Choice. In: Durlauf, S.N., Blume, L.E. (eds) Microeconometrics. The New Palgrave Economics Collection. Palgrave Macmillan, London. https://doi.org/10.1057/9780230280816_13
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