Praised for its bold, innovative approach to improving the way econometrics is learned, this best-selling text covers single-equation linear regression analysis in an intuitive, accessible way, As early as the first edition, the author emphasized applications and examples in a predominantly theoretical field. Now widely imitated, the book continues to reap accolades from professors who are delighted that their students are able to understand and use econometrics from the first chapter on.

Fourth Edition Highlights
    - A completely new chapter that reviews elementary statistics
    - An increased emphasis on modern regression topics such as the White test, heteroskedasticity corrected standard errors the AR (1)   adjustment for serial correlation, Akaike's Information Criterion, the Schwarz Criterion, and nonstationarity
    - Numerous improved, expanded, and updated exercises, examples, and data sets
    - The optional, low-cost inclusion of the student version of Eviews, the number-one Windows-based econometric software package in the world, plus a free Student Guide to Using EViews that walks students step-by-step through the EViews software using examples from the main text.
    - A Web site containing the text's data sets already formatted for four of the most commonly used regression software packages: EViews, SAS, SHAZAM, and EXCEL, plus additional interactive regression learning exercises.

Part 1 The Basic Regression Model
Part 2 Violations of the classical assumptions
Part 3 Extensions of the basic regression model