Dougherty c introduction to econometrics oxford oxford university press

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dougherty c introduction to econometrics oxford oxford university press

Introduction to Econometrics by Christopher Dougherty

Introduction to Econometrics provides an introduction to econometrics using analytical and intuitive methods of the classical linear regression model. Mathematical notation is kept simple and step-by-step explanations of mathematical proofs are provided to facilitate learning. The text also provided to facilitate learning. The text also contains a large number of practical exercises, enabling students to practice what they have learned.
This new edition has been substantially updated and revised with the inclusion of new material on specification tests, binary choice models, tobit analysis, sample selection bias, nonstationary time series, and unit root tests and basic cointegration. The new edition is also accompanied by a website with Powerpoint slideshows giving a parallel graphical treatment of topics treated in the book, cross-section and time series data sets, manuals for practical exercises, and lecture note extending the text.
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Published 28.11.2018

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Introduction to Econometrics

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Jump to navigation. National Longitudinal Surveys. Advanced Search. Author: Dougherty, Christopher Resulting in 8 citations. Bibliography Citation. Washington, DC www.

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Econometrics, the application of statistical principles to the quantification of economic models, is a compulsory component of European economics degrees. This text provides an introduction to this complex topic for students who are not outstandingly proficient in mathematics. It does this by providing the student with an analytical and an intuitive understanding of the classical linear regression model. Mathematical notation is kept simple and step-by-step verbal explanations of mathematical proofs are provided to facilitate a full understanding of the subject. The text also contains a large number of practical exercises for students to follow up and practice what they have learnt.

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