Quantifying the Impact of Unobserved Heterogeneity on Inference from the Logistic Model

DOI10.1080/03610920802491782zbMath1170.62048OpenAlexW1991940250WikidataQ40825001 ScholiaQ40825001MaRDI QIDQ3396326

Salma Ayis

Publication date: 18 September 2009

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920802491782

zbMATH Keywords

tableslogistic modelunobserved heterogeneitybiased estimate

Mathematics Subject Classification ID

Point estimation (62F10) Generalized linear models (logistic models) (62J12)

Cites Work

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• Flexible mixture distribution modeling of dichotomous choice contingent valuation with heteroge\-neity
• Biased estimates of treatment effect in randomized experiments with nonlinear regressions and omitted covariates
• Logistic Discrimination and Bias Correction in Maximum Likelihood Estimation
• Testing Heterogeneity for Frailty Distribution in Shared Frailty Model
• Bias reduction of maximum likelihood estimates

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