Discrete Choice Models: Mathematical Methods by Alfred Galichon(.PDF)+

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Discrete Choice Models: Mathematical Methods, Econometrics, and Data Science by Alfred Galichon
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Overview: A foundational treatment of discrete choice models, with a focus on random utility models. Discrete choice models are essential tools for understanding decision-making when individuals must choose among alternatives. They have applications across the social sciences, notably in economics, marketing, and political science. This book offers a foundational treatment of discrete choice models, introducing the logit model and its generalizations, logistic and Poisson regressions, and generalized linear models, and demonstrates their use in analyzing important econometric models. These include international trade gravity, demand estimation, matching with and without transfers, hedonic markets, and dynamic discrete choice. Bridging theoretical clarity and practical applicability, the book is suitable for use in graduate-level coursework and will be an essential resource for researchers and practitioners. Two appendixes, with one covering the mathematical tools needed to understand the material, and the other the Python code examples.
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