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Discrete choice models have been used over the years in disaggregated approaches to forecast destination choices. However, there are important constraints in some of these models that pose obstacles to using them, such as the Independence of Irrelevant
Marina Urano de Carvalho Caldas +3 more
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Discrete Choice Models with Random Parameters in R: The Rchoice Package
Rchoice is a package in R for estimating models with individual heterogeneity for both cross-sectional and panel (longitudinal) data. In particular, the package allows binary, ordinal and count response, as well as continuous and discrete covariates ...
Mauricio Sarrias
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Semi-Automated Object-Based Classification of Coral Reef Habitat using Discrete Choice Models
As for terrestrial remote sensing, pixel-based classifiers have traditionally been used to map coral reef habitats. For pixel-based classifiers, habitat assignment is based on the spectral or textural properties of each individual pixel in the scene ...
Steven Saul, Sam Purkis
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Discrete Choice Modelling for Transportation [PDF]
This paper discusses important developments in discrete choice modeling for transportation applications. Since there have been a number of excellent recent surveys of the discrete choice literature aimed at transportation applications ( see Bhat, 1997 and 2000a), this paper will concentrate on new developments and areas given less weight in recent ...
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Heterogeneity in dynamic discrete choice models [PDF]
Summary: We consider dynamic discrete choice models with heterogeneity in both the levels parameter and the state dependence parameter. We first present an empirical analysis that motivates the theoretical analysis which follows. The theoretical analysis considers a simple two-state, first-order Markov chain model without covariates in which both ...
Martin Browning, Jesus Carro
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Evidence-based design has been fundamental to designing healthcare environments for patient outcomes and experience, yet few studies have studied how design factors drive patient choice.
May Woo MS +5 more
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Impact Of Congestion Pricing Policy Change On Mode Choice: The Case Of Tehran [PDF]
Transportation demand management policies are among the most important ways to reduce traffic congestion in cities and make transport infrastructures more efficient.
A.R. Mamdoohi, E. Hamrang Ghoortlar
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Estimation of Random Utility Models in R: The mlogit Package
mlogit is a package for R which enables the estimation of random utility models with choice situation and/or alternative specific variables. The main extensions of the basic multinomial model (heteroscedastic, nested and random parameter models) are ...
Yves Croissant
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Discrete Choice Models for Commuting Interactions [PDF]
An emerging quantitative spatial economics literature models commuting interactions by a gravity equation that is mathematically equivalent to a multinomial logit model. This model is widely viewed as restrictive because of the independence of irrelevant alternatives (IIA) property that links substitution behavior in response to changes in the ...
Rouwendal, Jan +2 more
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Migratory flows of Andalusian workers (1979-1997): an economic analysis with individual data [PDF]
The present article studies migration rates in between andalucian provincies and also between them and the rest of Spain. Using administrative data from Spanish Social Security, we are able to identify not only permanent migrants but also those who ...
Consuelo Gámez Amián +1 more
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