"My motivation for writing the first edition of Introduction to Econometrics: A Modern Approach was the realization that there was a significant gap between how econometrics is taught to undergraduate students and how empirical researchers think about and apply econometric methods. I was convinced that teaching introductory econometrics courses from the perspective of professional econometricians would simplify the presentation of the subject and make it much more interesting.

If I judge by the positive reactions to previous editions of the manual, it seems that my intuition was correct. The modern approach to econometrics presented here has been embraced by many instructors, including those from diverse backgrounds, with varied interests, and who cater to students of different levels. This edition still emphasizes the application of econometrics to real-world problems.

Every econometric method is motivated by a specific issue faced by researchers as they analyze non-experimental data. The main text focuses on understanding and interpreting assumptions in light of real empirical applications: the mathematics required is simply undergraduate-level algebra as well as basic principles of probability and statistics." [from the preface of the book]