Fundamentals of Applied Econometrics

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9780470591826: Fundamentals of Applied Econometrics

Fundamentals of Applied Econometrics is designed for an applied, undergraduate econometrics course providing students with an understanding of the most fundamental econometric ideas and tools. The texts serves both the student whose interest is in understanding how one can use sample data to illuminate economic theory and the student who wants and needs a solid intellectual foundation on which to build practical experiential expertise. Starting with a unique Statistics review to start the book, students will learn by doing. Ashley provides students with integrated, hands-on exercises, and the text is supplemented with Active Learning Exercises.

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Ashley, Richard A.
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Book Description John Wiley and Sons Ltd, United Kingdom, 2012. Hardback. Book Condition: New. 1. Auflage. Language: English . Brand New Book. * Extensive examples and Active Learning Exercises are found in each chapter providing interactive, hands-on applications to ensure comprehension and retention of econometrics. The latter exercises are brief, highly-directed ?mini-projects,? in which students get hands-on experience with the econometric techniques covered, working with generated or actual sample data. * Statistics Review at the beginning of the text allows students to refresh their statistical skills. It is based on estimation/inference with regard to the mean of a random variable ? and then develops bivariate and multiple regression as logical extensions of this framework, in which the mean of the dependent variable is linearly parameterized. This statistics review allows the instructor to cover in class as much (or as little) background material in statistics and probability material as is necessary for a given group. * The first half of Fundamental of Applied Econometrics ? roughly Chapters 1 through 12 and Chapter 20 ? provides a thorough undergraduate-level treatment of multiple regression, including an extensive statistics review. * The second half of the book ? Chapters 13 through 20 ? covers a number of advanced topics: panel data modeling, time series analysis, binary-choice modeling, and an introduction to GMM. Copious examples, illustrated with (but not limited to) Stata commands and output are provided. * Serves both the student whose interest is in understanding how one can use sample data to illuminate economic theory and the student who wants and needs a solid intellectual foundation on which to build practical experiential expertise. Bookseller Inventory # AAS9780470591826

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Richard A. Ashley
Published by John Wiley and Sons Ltd, United Kingdom (2012)
ISBN 10: 047059182X ISBN 13: 9780470591826
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Book Description John Wiley and Sons Ltd, United Kingdom, 2012. Hardback. Book Condition: New. 1. Auflage. Language: English . Brand New Book. * Extensive examples and Active Learning Exercises are found in each chapter providing interactive, hands-on applications to ensure comprehension and retention of econometrics. The latter exercises are brief, highly-directed ?mini-projects,? in which students get hands-on experience with the econometric techniques covered, working with generated or actual sample data. * Statistics Review at the beginning of the text allows students to refresh their statistical skills. It is based on estimation/inference with regard to the mean of a random variable ? and then develops bivariate and multiple regression as logical extensions of this framework, in which the mean of the dependent variable is linearly parameterized. This statistics review allows the instructor to cover in class as much (or as little) background material in statistics and probability material as is necessary for a given group. * The first half of Fundamental of Applied Econometrics ? roughly Chapters 1 through 12 and Chapter 20 ? provides a thorough undergraduate-level treatment of multiple regression, including an extensive statistics review. * The second half of the book ? Chapters 13 through 20 ? covers a number of advanced topics: panel data modeling, time series analysis, binary-choice modeling, and an introduction to GMM. Copious examples, illustrated with (but not limited to) Stata commands and output are provided. * Serves both the student whose interest is in understanding how one can use sample data to illuminate economic theory and the student who wants and needs a solid intellectual foundation on which to build practical experiential expertise. Bookseller Inventory # AAS9780470591826

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