Overview
Retaining the student-friendly approach of previous editions, Introduction to Econometrics, Fourth Edition, uses clear and simple mathematics notation and step-by step explanations of mathematical proofs to help students thoroughly grasp the subject. Extensive practical exercises throughout--including fifty exercises on the same dataset--build students' confidence and provide them with hands-on practice in applying techniques.
NEW TO THE FOURTH EDITION:
* An expanded review section at the beginning of the book offers a more comprehensive guide to all of the statistical concepts needed to study econometrics
* Additional exercises provide students with even more opportunities to put theory into practice
* More Monte Carlo simulations help students use visualization to understand the math
* New final sections at the end of each chapter contain summaries and non-technical introductions to more advanced topics
An updated and expanded Companion Website contains resources for students and instructors:
For students:
* Data sets
* Gretl, a free econometrics software application
* PowerPoint-based slides with explanations
* A study guide
For instructors:
* Instructor manuals for the text and data sets that detail the exercises and their solutions
* PowerPoint-based slides
* A "Contact the Author" link
Synopsis
Introduction to Econometrics,2/e offers a step-by-step introductory guide to the core areas of econometrics. Accessible to readers with limited mathematical backgrounds, the book provides an analytical and an intuitive understanding of the classical linear regression model. This new edition has been substantially updated and revised with the inclusion of new material on specification tests, binary choice models, tobit analysis, sample selection bias, nonstationary time series, and unit root tests and cointegration.