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Introduction to Econometrics
 
 
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Introduction to Econometrics [Paperback]

Christopher Dougherty
4.0 out of 5 stars  See all reviews (7 customer reviews)

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Product details

  • Paperback: 480 pages
  • Publisher: OUP Oxford; 3 edition (23 Nov 2006)
  • Language English
  • ISBN-10: 0199280967
  • ISBN-13: 978-0199280964
  • Product Dimensions: 24.4 x 18.5 x 2.5 cm
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (7 customer reviews)
  • Amazon Bestsellers Rank: 228,039 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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Christopher Dougherty
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Product Description

Product Description

Introduction to Econometrics provides students with a simple mathematics notation and step-by step explanations of mathematical proofs to facilitate a thorough understanding of the subject. Extensive exercises throughout encourage students to apply the techniques, thus gaining confidence in what they have learnt. A complete teaching and learning package, this text is accompanied by an Online Resource Centre featuring resources for lectures and students such as a student guide, PowerPoint slides, instructors manual, additional exercises, and links to cross-section and time series data sets. To reflect the student-friendly approach, the text design has been made even easier for students to learn from and the text is now in two colour. There is also a new chapter on Panel Data.

About the Author

Dr Christopher Dougherty is a Senior Lecturer in Economics at the London School of Economics

Inside This Book (Learn More)
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Customer Reviews

Most Helpful Customer Reviews
4 of 4 people found the following review helpful
By Brandon
Format:Paperback
This introductory book is easy to understand. It covers all basic econometrics topics and some advanced topics such as stationary and non-stationary time series. Explanations are simple and not too technical. For those qualitative persons doing econometrics this book will be a saviour. For those quantitative persons, they may find the book oversimplistic but is still useful for an introductory course to grasp the basics. What this book lack is mathematical proofs. But other than that this book is an excellent one.
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8 of 9 people found the following review helpful
Format:Paperback
CDs "Introduction to Econometrics" provides you with a comprehensive background on the subject (Time series, Simultaneous equations, Heteroscedasticity, Multicollinearity, Binary choice models, etc.) to be able to interpret and perform your own econometric analysis for further use in applied economics.

The book serves as an excellent introduction for both quantitative and qualitative thinkers. The former gain a broad view of the subject that lays down the foundation for more hardcore mathematical modelling. The mathematical proofs in the appendix give a more succinct explanation of the techniques employed.

Qualitative readers are able to comprehend the statistical models without having to struggle with endless formulas and boring mathematical proofs. The necessary skills that they require for writing/reading economic analysis are all explained in this book.

The slides give you a more concise treatment of the material and the study guide a more applied flavour of econometrics. These are all freely downloadable from the LSE economics website.

I personally found this book very helpful to proceed onto postgraduate economics.

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8 of 9 people found the following review helpful
By A Customer
Format:Paperback
Whether or not you are an undergraduate at the LSE taking the introductory course on Econometrics, this book will be of interest to you if you'd like an introduction to Econometrics. This book takes you from a very basic understanding of statistics right through to how to deal with non-stationary time series. In between it covers topics such as simple and multiple regression, problems with multicollinearity and misspecifications (e.g. omitted variable bias), heteroscedasticity, proxy variables and instrumental variables, simultaenous equation bias and time series. The book also gives you a basic understanding of how to use logit and probit analysis when fitting binary choice models.
Dougherty has succeeded to make this book easy to understand for any undergraduate seeking knowledge in this topic. I find the detailed worked examples especially helpful for when it comes to solving practical problems for which the book mainly considers the use of Stata and Eview. The book also has a lot of excercises that help enhance the student's understanding of the topics. Additionally, Dougherty has compiled a course guide that among other things also goes through some of the exercises in the book. The course guide can be found on his webpage at the LSE in addition to all slide shows corresponding to the chapters of the book. Together with these additional course materials, the book makes the topics very easy to understand and cope with for students and should help them do well in their courses on Econometrics. This is really one of a kind and an extremely useful basis for further studies in Econometrics!!
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