Modeling industrial location decisions in U.S. counties [PDF]
Given its sound theoretical underpinnings, the Random Utility Maximization-based conditional logit model has been the methodological basis for applied research on industrial location decisions. However, in practice, the implementation of this methodology
Figueiredo, Octávio +2 more
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A Logit Approach to Study the Attractiveness of DRT Stops Location: The Case Study of Ragusa, Italy
Demand-Responsive Transport (DRT) services ensure the implementation of more sustainable transport solutions and focuses on the creation of more flexible and personalised public transport systems.
Antonio Russo +4 more
doaj +1 more source
Interpreting interaction terms in linear and non-linear models: A cautionary tale [PDF]
Interaction terms are often misinterpreted in the empirical economics literature by assuming that the coefficient of interest represents unconditional marginal changes. I present the correct way to estimate conditional marginal changes in a series of non-
Drichoutis, Andreas
core +1 more source
Identification of inferential parameters in the covariate-normalized linear conditional logit model
The conditional logit model is a standard workhorse approach to estimating customers' product feature preferences using choice data. Using these models at scale, however, can result in numerical imprecision and optimization failure due to a combination of large-valued covariates and the softmax probability function. Standard machine learning approaches
openaire +2 more sources
Branding locally produced chicken in Ghana: An application of discrete choice experiment
Branding is gradually becoming an essential component of successful agribusinesses and a significant motivation to boost modern agriculture. The study aimed to investigate broiler farmers' choices and preferences for branding locally produced chicken in ...
Helena Oppong-Kyeremeh +2 more
doaj +1 more source
Transition choice probabilities and welfare in ARUM's [PDF]
We study the descriptive and the normative consequences of price and/or other attributes changes in additive random utility models. We first derive expressions for the transition choice probabilities associated to these changes.
André De Palma, Karim Kilani
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Background Estimations of the demand for healthcare often rely on estimating the conditional probabilities of being ill. Such estimate poses several problems due to sample selectivity problems and an under-reporting of the incidence of illness.
Hidayat Budi
doaj +1 more source
A comparison of two-stage segmentation methods for choice-based conjoint data: a simulation study. [PDF]
Due to the increasing interest in market segmentation in modern marketing research, several methods for dealing with consumer heterogeneity and for revealing market segments have been described in the literature.
Crabbe, Marjolein +2 more
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Racial, ethnic, and income disparities in air pollution: A study of excess emissions in Texas.
ObjectiveExcess emissions are pollutant releases that occur during periods of startups, shutdowns or malfunctions and are considered violations of the U.S. Clean Air Act.
Zhengyan Li +2 more
doaj +1 more source
Improving the efficiency of individualized designs for the mixed logit choice model by including covariates. [PDF]
Recent research shows that the inclusion of choice related demo- and sociographics in discrete choice models aids in modeling the choice behavior of consumers substantially.
Crabbe, Marjolein, Vandebroek, Martina
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