Interpreting logit models

• Autores: Luca J. Uberti
• Localización: The Stata journal, ISSN 1536-867X, Vol. 22, Nº. 1, 2022, págs. 60-76
• Idioma: inglés
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• Resumen

  • The parameters of logit models are typically difficult to interpret, and the applied literature is replete with interpretive and computational mistakes. In this article, I review a menu of options to interpret the results of logistic regressions correctly and effectively using Stata. I consider marginal effects, partial effects, (contrasts of) predictive margins, elasticities, and odds and risk ratios. I also show that interaction terms are typically easier to interpret in practice than implied by the recent literature on this topic.