Log-likelihood-based Pseudo-R2 in Logistic Regression

By Giselmar A. J. Hemmert, L. Schons, J. Wieseke, H. Schimmelpfennig. 2018

178 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/1bf3729e6e654e6f5d891850f81eb5b7a9fdc8b5

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Citations in the corpus

• The differential impact of leverage on the default risk of small and large firms (2020, methodology): “It should be noted that the McFadden pseudo-R(2) cannot be interpreted in the same way as the standard R(2) in OLS regressions, that is, as the proportion of explained variance (Hemmert et al., 2018).”