9780691221809 - Discrete Choice Models: Mathematical Methods, Econometrics, and Data Science de Galichon, Alfred (29 resultados)

Hardcover. Condición: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Condición: New.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: As New. Unread book in perfect condition.

Hardback. Condición: New. A foundational treatment of discrete choice models, with a focus on random utility modelsDiscrete 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. Extensive coverage of computational issues, focusing on optimization and the reformulation as generalized linear models. Emphasis on econometric questions, including simulation, estimation, and inference methods, with estimation techniques based on both simulated and actual datasets. A substantial set of exercises and problems at the end of each chapter. Two appendixes, with one covering the mathematical tools needed to understand the material, and the other the Python code examples.

Condición: new.

Condición: New.

Hardback. Condición: New. A foundational treatment of discrete choice models, with a focus on random utility modelsDiscrete 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. Extensive coverage of computational issues, focusing on optimization and the reformulation as generalized linear models. Emphasis on econometric questions, including simulation, estimation, and inference methods, with estimation techniques based on both simulated and actual datasets. A substantial set of exercises and problems at the end of each chapter. Two appendixes, with one covering the mathematical tools needed to understand the material, and the other the Python code examples.

hardcover. Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Hardcover. Condición: new. Hardcover. A foundational treatment of discrete choice models, with a focus on random utility modelsDiscrete 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. Extensive coverage of computational issues, focusing on optimization and the reformulation as generalized linear models Emphasis on econometric questions, including simulation, estimation, and inference methods, with estimation techniques based on both simulated and actual datasets A substantial set of exercises and problems at the end of each chapter Two appendixes, with one covering the mathematical tools needed to understand the material, and the other the Python code examples Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardback. Condición: New. New copy - Usually dispatched within 4 working days.

Hardcover. Condición: Brand New. 288 pages. 9.25x6.12x9.30 inches. In Stock.

hardcover. Condición: New. Special order direct from the distributor.

Condición: New.

Condición: New.

Condición: New. 2026. hardcover. . . . . . Books ship from the US and Ireland.

Condición: New. 2026. hardcover. . . . . .

Condición: NEW.

Hardcover. Condición: new. Hardcover. A foundational treatment of discrete choice models, with a focus on random utility modelsDiscrete 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. Extensive coverage of computational issues, focusing on optimization and the reformulation as generalized linear models Emphasis on econometric questions, including simulation, estimation, and inference methods, with estimation techniques based on both simulated and actual datasets A substantial set of exercises and problems at the end of each chapter Two appendixes, with one covering the mathematical tools needed to understand the material, and the other the Python code examples Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condición: Brand New. 288 pages. 9.25x6.12x9.30 inches. In Stock.

Condición: New.

Hardback. Condición: New. A foundational treatment of discrete choice models, with a focus on random utility modelsDiscrete 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. Extensive coverage of computational issues, focusing on optimization and the reformulation as generalized linear models. Emphasis on econometric questions, including simulation, estimation, and inference methods, with estimation techniques based on both simulated and actual datasets. A substantial set of exercises and problems at the end of each chapter. Two appendixes, with one covering the mathematical tools needed to understand the material, and the other the Python code examples.

Buch. Condición: Neu. Neuware - A foundational treatment of discrete choice models, with a focus on random utility modelsDiscrete 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. Extensive coverage of computational issues, focusing on optimization and the reformulation as generalized linear models Emphasis on econometric questions, including simulation, estimation, and inference methods, with estimation techniques based on both simulated and actual datasets A substantial set of exercises and problems at the end of each chapter Two appendixes, with one covering the mathematical tools needed to understand the material, and the other the Python code examples.

Hardback. Condición: New. A foundational treatment of discrete choice models, with a focus on random utility modelsDiscrete 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. Extensive coverage of computational issues, focusing on optimization and the reformulation as generalized linear models. Emphasis on econometric questions, including simulation, estimation, and inference methods, with estimation techniques based on both simulated and actual datasets. A substantial set of exercises and problems at the end of each chapter. Two appendixes, with one covering the mathematical tools needed to understand the material, and the other the Python code examples.

Hardcover. Condición: new. Hardcover. A foundational treatment of discrete choice models, with a focus on random utility modelsDiscrete 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. Extensive coverage of computational issues, focusing on optimization and the reformulation as generalized linear models Emphasis on econometric questions, including simulation, estimation, and inference methods, with estimation techniques based on both simulated and actual datasets A substantial set of exercises and problems at the end of each chapter Two appendixes, with one covering the mathematical tools needed to understand the material, and the other the Python code examples Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Buch. Condición: Neu. Discrete Choice Models | Mathematical Methods, Econometrics, and Data Science | Alfred Galichon | Buch | Einband - fest (Hardcover) | Englisch | 2026 | Princeton University Press | EAN 9780691221809 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.