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jtltmbkzurqbidzl – Read and download John Stachurski’s book A Primer in Econometric Theory in PDF, EPub, Mobi, Kindle online. Book A Primer in Econometric Theory by John Stachurski

A Primer in Econometric Theory
by John Stachurski

Summary: A concise treatment of modern econometrics and statistics, including underlying ideas from linear algebra, probability theory, and computer programming. This book offers a cogent and concise treatment of econometric theory and methods along with the underlying ideas from statistics, probability theory, and linear algebra. It emphasizes foundations and general principles, but also features many solved exercises, worked examples, and code listings. After mastering the material presented, readers will be ready to take on more advanced work in different areas of quantitative economics and to understand papers from the econometrics literature. The book can be used in graduate-level courses on foundational aspects of econometrics or on fundamental statistical principles. It will also be a valuable reference for independent study. One distinctive aspect of the text is its integration of traditional topics from statistics and econometrics with modern ideas from data science and machine learning; readers will encounter ideas that are driving the current development of statistics and increasingly filtering into econometric methodology. The text treats programming not only as a way to work with data but also as a technique for building intuition via simulation. Many proofs are followed by a simulation that shows the theory in action. As a primer, the book offers readers an entry point into the field, allowing them to see econometrics as a whole rather than as a profusion of apparently unrelated ideas. show more

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Product details Format Hardback | 448 pages Dimensions 178 x 229 x 30mm | 1,179.34g Publication date 05 Aug 2016 Publisher MIT Press Ltd Imprint MIT Press Publication City/Country Cambridge, United States Language English Illustrations note 103 color illus.; 206 Illustrations, unspecified ISBN10 0262034905 ISBN13 9780262034906 Bestsellers rank 550,689

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