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Model warunkowego logitu (McFadden)×Zagnieżdżony model logitowy (Nested Logit Discrete Choice Model)×
DziedzinaEkonometriaEkonometria
RodzinaRegression modelRegression model
Rok powstania19741985
TwórcaDaniel McFaddenDaniel McFadden; Ben-Akiva & Lerman
TypDiscrete choice model for alternative-specific covariatesDiscrete choice regression model
Źródło pierwotneMcFadden, D. (1974). Conditional logit analysis of qualitative choice behavior. In P. Zarembka (Ed.), Frontiers in Econometrics (pp. 105–142). Academic Press. ISBN: 978-0-12-776150-3Ben-Akiva, M., & Lerman, S. R. (1985). Discrete Choice Analysis: Theory and Application to Travel Demand. MIT Press. ISBN: 978-0-262-02217-0
Inne nazwyMcFadden's Choice Model, Discrete Choice Logit, Alternative-Specific Logit, Koşullu Logit ModeliTree Logit Model, Hierarchical Logit Model, Generalized Extreme Value Logit, İç İçe Logit Modeli
Pokrewne33
PodsumowanieThe Conditional Logit Model, introduced by Daniel McFadden in 1974, is a discrete-choice econometric model designed to explain an individual's selection among a finite set of mutually exclusive alternatives. Unlike multinomial logit, it uses covariates that vary across alternatives — such as price, travel time, or product attributes — making it ideally suited for revealed-preference studies in transportation, marketing, and labor economics.The Nested Logit model is a discrete choice framework that groups mutually exclusive alternatives into hierarchical nests, allowing correlated unobserved utilities within each nest while maintaining independence across nests. Introduced formally by Ben-Akiva and Lerman (1985) and grounded in McFadden's Generalized Extreme Value (GEV) theory, it extends the standard Multinomial Logit by relaxing the restrictive Independence of Irrelevant Alternatives assumption within predefined groups of similar alternatives.
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ScholarGatePorównaj metody: Conditional Logit · Nested Logit. Pobrano 2026-06-15 z https://scholargate.app/pl/compare