Richard Williams, with assistance from Cheng Wang, discusses the comparison of logit and probit coefficients in regression models. The essence of estimating models with continuous independent variables is explored, emphasizing the impact of adding explanatory variables on explained and residual vari

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Exploring the proportional odds assumption in ordinal regression, this article discusses testing methods, like the parallel lines test, comparing multinomial and ordinal logistic regression models, and when to use each approach. It explains how violating the assumption may lead to using the multinom

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The topic discusses the Multinomial Logit Model in the context of discrete choice modeling, covering concepts, models, consumer preferences, utility maximization, and implications for discrete choice models. It explores how consumers maximize utility under budget constraints, the need for well-defin

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gologit2 is an advanced program for estimating generalized logistic regression models, including proportional odds, generalized ordered logit, and partial proportional odds models. It offers features beyond traditional ologit, allowing for less restrictive and more parsimonious modeling of ordinal d

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Binary logistic regression is a valuable tool for studying relationships between categorical variables, such as disease presence, voting intentions, and Likert-scale responses. Unlike linear regression, binary logistic regression ensures predicted values lie between 0 and 1, making it suitable for m

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Explore the concept of intermediate stops in transportation modelling, including the development of a new tour-based model in Charlotte. Learn about the challenges faced in modelling stops and the estimation process using the Logit model. Discover how tour frequency, main destination choice, number

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The article discusses violations of the proportional odds assumption in generalized ordered logit models. It provides examples of when assumptions are not violated and when they are partially violated, illustrating how gender impacts attitudes. Model illustrations and analysis showcase the implicati

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In a study exploring the impact of brand image and taste on consumer preference for peach juice, previous research comparing blind and non-blind taste tests is discussed. Minute Maid, for instance, showed varying results based on blind testing versus non-blind testing, indicating the effect of mass

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