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Econometrics

AUTHOR: Stephen J. Schmidt
ISBN: 0072983167

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Econometrics
         Editorial Review

Econometrics
- Book Review,
by Stephen J. Schmidt

Book Description
Stephen Schmidt is a superb and dedicated professor at an excellent liberal arts college, (Union in Schenectady, NY). After obtaining a PhD in Economics from Stanford University and teaching for 8 years, he has now written the book he has always wanted to write and use--an econometrics book that excites and motivates students about the value of statistical analysis in economics and gives them all of the tools they will need to do this analysis themselves. The goal of this book is to show students that econometric analysis is the bridge that connects economic theory with economic policy.


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         Book Review

Econometrics
- Book Reviews,
by Stephen J. Schmidt

Econometrics

FROM THE PUBLISHER

Stephen Schmidt is a superb and dedicated professor at an excellent liberal arts college, (Union in Schenectady, NY). After obtaining a PhD in Economics from Stanford University and teaching for 8 years, he has now written the book he has always wanted to write and use—an econometrics book that excites and motivates students about the value of statistical analysis in economics and gives them all of the tools they will need to do this analysis themselves. The goal of this book is to show students that econometric analysis is the bridge that connects economic theory with economic policy.

SYNOPSIS

Schmidt (economics, Union College) takes an economist's approach to the world of econometrics in this text/CD-ROM package for a first or second course in econometrics (with or without a prerequisite course in statistics). Combining mathematical reasoning and traditional derivations with graphical and intuitive explanations of results and econometric methods, the text teaches the statistical techniques that are the basis of econometric analysis in the context of important economic problems. Knowledge of basic calculus is assumed. Learning features include chapter reviews, problems, and computer-based Monte Carlo exercises. Annotation ©2004 Book News, Inc., Portland, OR


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