Econometrics by Example

by Damodar Gujarati

What makes this book so special?

  • The Author: Damodar Gujarati is a best-selling textbook author and has 42 years of teaching experience. He is a prominent figure in the field of econometrics and his textbooks are very popular with students…
…when it comes to getting clear answers to my basic questions, I always reach for ‘Guj’ … I wouldn't try to learn econometrics without the Guj. - Student reviewer on Amazon
  • Example-led approach: EBE focuses on two or three examples per chapter which are developed and used as a basis to explain econometric theory. This innovative approach centres on ‘learning by doing’ and anchors the complex subject of econometrics in real-life data and situations.
…the book is well structured and provides the student with all that he needs to do empirical work without having to know all the theoretical details. - Professor Pedro Cerquiera, European University Institute, Portugal
  • Engaging and clear writing style: Given that students notoriously struggle with econometrics, Gujarati’s clear and engaging writing style, borne out of his vast experience, makes the subject-matter easier to understand and more accessible for students.
The writing style, exposition is great – simple, clearly explained. The material is also very good. - Professor Mike Clements, University of Warwick, UK
The writing is excellent. - Associate Professor Heino Bohn Nielsen, Copenhagen University, Denmark
  • Broad coverage and fully up-to-date: EBE takes a step-by-step approach which will provide a framework for students new to the subject. It offers complete coverage and contains all the topics that lecturers would expect to see in an introductory course, including modern topics such as instrumental variables and panel data. It makes extensive use of the Stata and Eviews statistical packages and the outputs obtained from these packages are reproduced in the book. Finally, EBE contains an appendix that discusses the basic concepts of statistics in a user-friendly manner and provides the necessary statistical background to follow the concepts.
The breadth of material that is covered is very good and a full range of alternative models are presented. - Professor Timothy Park, University of Georgia, USA