Alfred Galichon – författare

Optimal Transport Methods in Economics is the first textbook on the subject written especially for students and researchers in economics. Optimal transport theory is used widely to solve problems in mathematics and some areas of the sciences, but it can also be used to understand a range of problems in applied economics, such as the matching between job seekers and jobs, the determinants of real estate prices, and the formation of matrimonial unions. This is the first text to develop clear applications of optimal transport to economic modeling, statistics, and econometrics. It covers the basic results of the theory as well as their relations to linear programming, network flow problems, convex analysis, and computational geometry. Emphasizing computational methods, it also includes programming examples that provide details on implementation. Applications include discrete choice models, models of differential demand, and quantile-based statistical estimation methods, as well as asset pricing models.Authoritative and accessible, Optimal Transport Methods in Economics also features numerous exercises throughout that help you develop your mathematical agility, deepen your computational skills, and strengthen your economic intuition. * The first introduction to the subject written especially for economists* Includes programming examples* Features numerous exercises throughout* Ideal for students and researchers alike

Optimal Transport Methods in Economics is the first textbook on the subject written especially for students and researchers in economics. Optimal transport theory is used widely to solve problems in mathematics and some areas of the sciences, but it can also be used to understand a range of problems in applied economics, such as the matching between job seekers and jobs, the determinants of real estate prices, and the formation of matrimonial unions. This is the first text to develop clear applications of optimal transport to economic modeling, statistics, and econometrics. It covers the basic results of the theory as well as their relations to linear programming, network flow problems, convex analysis, and computational geometry. Emphasizing computational methods, it also includes programming examples that provide details on implementation. Applications include discrete choice models, models of differential demand, and quantile-based statistical estimation methods, as well as asset pricing models.Authoritative and accessible, Optimal Transport Methods in Economics also features numerous exercises throughout that help you develop your mathematical agility, deepen your computational skills, and strengthen your economic intuition.The first introduction to the subject written especially for economistsIncludes programming examplesFeatures numerous exercises throughoutIdeal for students and researchers alike

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

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

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

Optimal Transport Methods in Economics is the first textbook on the subject written especially for students and researchers in economics. Optimal transport theory is used widely to solve problems in mathematics and some areas of the sciences, but it can also be used to understand a range of problems in applied economics, such as the matching between job seekers and jobs, the determinants of real estate prices, and the formation of matrimonial unions. This is the first text to develop clear applications of optimal transport to economic modeling, statistics, and econometrics. It covers the basic results of the theory as well as their relations to linear programming, network flow problems, convex analysis, and computational geometry. Emphasizing computational methods, it also includes programming examples that provide details on implementation. Applications include discrete choice models, models of differential demand, and quantile-based statistical estimation methods, as well as asset pricing models.Authoritative and accessible, Optimal Transport Methods in Economics also features numerous exercises throughout that help you develop your mathematical agility, deepen your computational skills, and strengthen your economic intuition.

The first introduction to the subject written especially for economistsIncludes programming examplesFeatures numerous exercises throughoutIdeal for students and researchers alike

Enron, Andersen, Worldcom: although these companies have stopped dominating the headlines, the shock waves they sent through the business community in 2002 have not yet subsided. The belief that accounting is an exact science has been shattered, while economic relations are upset by the knowledge that financial information may be untrustworthy. Yet the market economy profoundly requires relevant and reliable information about the activity and financial situation of businesses. Taking into account the increasing strength of capital markets and international investors, the authors outline the basic elements that could constitute a new, balanced system of accounting that would accompany the necessary changes in capitalism, particularly in France and the rest of Europe. This book is aimed at practicing accountants, business and corporate finance students, but also at any reader interested in an original and compelling perspective on the use and abuse of accounting in the business community. Nicolas Véron, a  senior fellow at the Peterson Institute for International Economics in Washington, DC, is the co-founder of the European think tank Bruegel. He authored or co-authored numerous publications on banking supervision, crisis management, and financial reporting. Matthieu Autret is an economic expert who has worked for the European Commission and the World Bank. Alfred Galichon is a full professor at the department of economics of New York University and the current director of New York University in Paris. His research interests span across theoretical, computational, and empirical questions.