Discrete Choice Models: Mathematical Methods, Econometrics, and Data Science
Discrete Choice Models: Mathematical Methods, Econometrics, and Data Science offers a focused treatment of models for analyzing choices among alternatives. Alfred Galichon brings together mathematical methods, econometric perspectives, and data science, making the subject accessible to readers interested in quantitative modeling and empirical decision analysis.
About This Book
Discrete choice models study situations in which individuals or entities select among distinct alternatives.
This book presents mathematical methods for working with discrete choice models and places them in an econometric context.
It also connects these models with data science, highlighting their relevance to quantitative analysis of choices and preferences.
Written by Alfred Galichon, the book is intended for readers seeking a structured treatment of the mathematical and empirical foundations of discrete choice modeling.
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