Discrete Choice Analysis with R

Häftad, Engelska, 2024

AvAntonio Páez,Geneviève Boisjoly,Antonio Paez,Genevieve Boisjoly

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Readers begin with simple data operations and the underlying theory of choice analysis and conclude by working with sophisticated models including latent class logit models, mixed logit models, and ordinal logit models with taste heterogeneity.

Produktinformation

Utgivningsdatum2024-01-26
Mått155 x 235 x 20 mm
Vikt540 g
FormatHäftad
SpråkEngelska
SerieUse R!
Antal sidor332
FörlagSpringer International Publishing AG
ISBN9783031207211

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Sociologi inom Samhalle och politik
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Antonio Páez is a Professor in the School of Earth, Environment and Society at McMaster University. He trained as a civil engineer and upon joining McMaster was adopted into geography as his home discipline. Now he specializes in spatial data analysis, discrete choice modeling, transportation systems, accessibility, and urban and health geography. He is listed as author or co-author in more than 130 peer reviewed articles in international academic journals, and also recently released his book An Introduction to Spatial Data Analysis and Statistics: A Course in R. He has long standing interests in languages, science, science fiction, fantasy, and art. He lives in Hamilton, Ontario, where the summers are short but hot.Geneviève Boisjoly is an Assistant Professor in transport engineering at Polytechnique Montréal. Building on her multidisciplinary background (mechanical engineering, sustainability science and urban planning), she is concerned with the interactions between transport networks, land use and travel behavior, from a sustainability standpoint. She has developed an extensive expertise related to indicators of access to urban opportunities and their integration in urban planning. More specifically, she works on the needs and perceptions of users and on how to include them in integrated land use and transport planning tools. Her work focuses on active and public transport modes, travel behavior and social equity.

1. Data, Models, and Software.- 2. Exploratory Data Analysis.- 3. Fundamental Concepts.- 4. 4 Logit.- 5. Practical Issues in the Specification and Estimation of Discrete Choice Models.- 6. Behavioral Insights from Choice Models.- 7. Non-Proportional Substitution Patterns I: Generalized Extreme Value Models.- 8. Non-Proportional Substitution Patterns II: The Probit Model.- 9. Dealing with Heterogeneity I: The Latent Class Logit Model.- 10 Dealing with Heterogeneity II: The Mixed Logit Model.- 11. Models for Ordinal Responses.- Epilogue.- References