About this ebook
Sound knowledge of rigorous probability and statistics methods is essential to pursue graduate studies in economics. These sorts of tools are largely required to conduct research in modern fields of economics such as economic theory, empirical economics, experimental economics, or data science for economics.
These notes provide an intuitive roadmap to navigate graduate-level courses in mathematical probability and statistics for economists. Each chapter presents questions prevalent on each topic and lays out the state-of-the-art theoretical frameworks used to address such questions. The book offers a diverse array of solved examples to help gain intuitions on abstract concepts, as well as unsolved exercises to stimulate the readers' training in such concepts. The book presents the theoretical side of probability and statistics in a rather concise way and stresses the importance of motivating examples and observations.
Sound knowledge of rigorous probability and statistics methods is essential to pursue graduate studies in economics. These sorts of tools are largely required to conduct research in modern fields of economics such as economic theory, empirical economics, experimental economics, or data science fo...
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About the author
Antonio Jiménez-Martínez is an Associate Professor of Economics at the Division of Economics of Centro de Investigación y Docencia Económicas (CIDE), Mexico City, and has been visiting Professor at the Department of Economics of University of California, San Diego.
Antonio Jiménez-Martínez is an Associate Professor of Economics at the Division of Economics of Centro de Investigación y Docencia Económicas (CIDE), Mexico City, and has been visiting Professor at the Department of Economics of University of California, San Diego.
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