Econometrics by Example

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Product details

  • ISBN 9781137375018
  • Weight: 1000g
  • Dimensions: 190 x 246mm
  • Publication Date: 20 Nov 2014
  • Publisher: Bloomsbury Publishing PLC
  • Publication City/Country: GB
  • Product Form: Paperback
  • Language: English
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The second edition of this bestselling textbook retains its unique learning-by-doing approach to econometrics. Rather than relying on complex theoretical discussions and complicated mathematics, this book explains econometrics from a practical point of view by walking the student through real-life examples, step by step. Damodar Gujarati’s clear, concise, writing style guides students from model formulation, to estimation and hypothesis-testing, through to post-estimation diagnostics. The basic statistics needed to follow the book are covered in an appendix, making the book a flexible and self-contained learning resource.

The textbook is ideal for undergraduate students in economics, business, marketing, finance, operations research and related disciplines. It is also intended for students in MBA programs across the social sciences, and for researchers in business, government and research organizations who require econometrics.

New to this Edition:
- Two brand new chapters on Quantile Regression Modeling and Multivariate Regression Models.
- Two further additional chapters on hierarchical linear regression models and bootstrapping are available on the book’s website
- New extended examples accompanied by real-life data
- New student exercises at the end of each chapter

Accompanying online resources for this title can be found at bloomsburyonlineresources.com/econometrics-by-example-2. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.

Damodar Gujarati is Emeritus Professor of Economics, US Military Academy, West Point, New York, USA. He has over 40 years of teaching and writing experience. As well as his bestselling textbooks he has published many articles in leading economics and statistics journals. He has Visiting Professorships at leading universities in the UK, Australia, Singapore and India.

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