This is a thorough revision of the best selling undergraduate Econometrics text.Accessible, complete, and student oriented, Basic Econometrics is appropriate for first courses in Econometrics at all four year colleges and universities. In addition to a first rate text, students have access to the SHAZY student version of SHAZAM, an inexpensive version of a widely used econometrics package, as well as data sets (free on adoption to instructors) for problem and example material in the text.

Part 1 Single-Equation Regression Models
- The Nature of Regression Analysis
- Two-Variable Regression Analysis : Some Basic Ideas
- Two-Variable Regression Model : The Problem of Estimation
- Classical Normal Linear Regression Model (CNLRM)
, etc.

Part 2 Relaxing the Assumptions of the Classical Model
- Multicollinearity : What Happens If the Regressors Are Correlated?
- Heteroscedasticity : What Happens If the Error Variance Is Nonconstant?
- Autocorrelation : What Happens If the Error Terms Are Correlated?
- Econometric Modeling : Model Specification and Diagnostic Testing

Part 3 Topics in Econometrics
- Nonlinear Regression Models
- Qualitative Response Regression Models
- Panel Data Regression Models
- Dynamic Econometric Models : Autoregressive and Distributed-Lag Models

Part 4 Simultaneous-Equation Models and Time Series Econometrics
- Simultaneous-Equation Models
- The Identification Problem
- Simultaneous-Equation Methods
- Time Series Econometrics : Some Basic Concepts
- Time Series Econometrics : Forecasting