Selasa, 17 Juni 2014

Ebook Free A Primer in Econometric Theory (The MIT Press), by John Stachurski

Ebook Free A Primer in Econometric Theory (The MIT Press), by John Stachurski

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A Primer in Econometric Theory (The MIT Press), by John Stachurski

A Primer in Econometric Theory (The MIT Press), by John Stachurski


A Primer in Econometric Theory (The MIT Press), by John Stachurski


Ebook Free A Primer in Econometric Theory (The MIT Press), by John Stachurski

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A Primer in Econometric Theory (The MIT Press), by John Stachurski

Review

This important book fills a gap in the existing curriculum by providing a firm foundation in linear algebra, statistics, and coding for students who want to study advanced econometrics. And there's more: it also exposes students to methods of machine learning and computational statistics, offering a broader perspective on modern data analytic techniques.―Hal Varian, Chief Economist, GoogleA Primer in Econometric Theory presents key foundations and supplements them with good examples. It vividly shows the benefits given to us by decades of technical progress in econometrics and computational methods. Stachurski's writing style presents technical arguments in attractive and accessible ways.―Thomas J. Sargent, New York UniversityJohn Stachurski's text, A Primer in Econometric Theory is a concise and elegant book that provides a more conceptual introduction to econometrics that coincides well with my own preferred way of teaching the subject to first-year graduate students. It is clear, rigorous, and provides a large number of interesting exercises with solutions. I will use it in my own econometrics teaching and recommend it to complement other applied econometrics books.―John Rust, Gallagher Family Professor of Economics, Georgetown UniversityWhen I learned the fundamentals of linear algebra and economic theory as a graduate student, I found most textbooks and courses had an emphasis on theory but very little in terms of software. The emphasis on teaching these ideas through modern programming tools such as Julia, Python, and R not only makes the material far more accessible but also equips the readers of this book for their professional careers. I wish I had such a book when I was in grad school!―Viral Shah, Co-inventor of Julia programming language, Co-founder of Julia Computing, Co-author of Rebooting India

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About the Author

John Stachurski is Professor of Economics at the Australian National University and the author of Economic Dynamics: Theory and Computation (MIT Press).

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Product details

Series: The MIT Press

Hardcover: 448 pages

Publisher: The MIT Press (August 5, 2016)

Language: English

ISBN-10: 0262034905

ISBN-13: 978-0262034906

Product Dimensions:

7 x 1.2 x 9 inches

Shipping Weight: 2.6 pounds (View shipping rates and policies)

Average Customer Review:

4.6 out of 5 stars

3 customer reviews

Amazon Best Sellers Rank:

#899,295 in Books (See Top 100 in Books)

¿What skills should you master to do modern econometrics and beyond? That is answered by Stachurski's. A text that points to the basis of all the topics included, without distractions; but with more than enough exercises to practice. I am still working on it.

This is an excellent text covering a wide range of topics. There are plenty of examples and many exercises (with solutions!) which test key concepts without requiring a ton of "cleverness," making the textbook useful for expedient self-study. Indeed, it's one of the few mathematical works that I've managed to read cover-to-cover.

Here is the deal: I have a PhD in Economics was never good with data tools. Every Econometrics class I took started with linear regression and proceeded from there. I think this is a terrible way of teaching it. This book is different. It blends Probability theory well with statistics then adds Econometric tools as part of a bigger picture. It provides a lot of intuition. It also provides a better framework to add more skills in fields like machine learning as well. You can read this book on top of your undergraduate education then specialize on whatever you are going to do.Besides you should check his quant-econ website.

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