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. --This text refers to an out of print or unavailable edition of this title.

Part I: Single-Equation Regression Model

 Chapter 1: The Nature of Regression Analysis
 Chapter 2: Two-Variable Regression Analysis: Some Basic Ideas
 Chapter 3: Two Variable Regression Model: The Problem of Estimation
 Chapter 4: Classical Normal Linear Regression Model (CNLRM)
 Chapter 5: Two-Variable Regression: Interval Estimation and Hypothesis Testing
 Chapter 6: Extensions of the Two-Variable Linear Regression Model
 Chapter 7: Multiple Regression Analysis: The Problem of Estimation
 Chapter 8: Multiple Regression Analysis: The Problem of Inference
 Chapter 9: Dummy Variable Regression Models

 Part II: Relaxing the Assumptions of the Classical Model

 Chapter 10: Multicollinearity: What happens if the Regressor are Correlated
 Chapter 11: Heteroscedasticity: What Happens if the Error Variance is Nonconstant?
 Chapter 12: Autocorrelation: What Happens if the Error Terms are Correlated
 Chapter 13: Econometric Modeling: Model Specification and Diagnostic Testing

 Part III: Topics in Econometrics

 Chapter 14: Nonlinear Regression Models
 Chapter 15: Qualitative Response Regression Models
 Chapter 16: Panel Data Regression Models
 Chapter 17: Dynamic Econometric Model: Autoregressive and Distributed-Lag Models.

 Part IV: Simultaneous-Equation Models

 Chapter 18: Simultaneous-Equation Models.
 Chapter 19: The Identification Problem.
 Chapter 20: Simultaneous-Equation Methods.
 Chapter 21: Time Series Econometrics: Some Basic Concepts
 Chapter 22: Time Series Econometrics: Forecasting

 Appendix A: Review of Some Statistical Concepts
 Appendix B: Rudiments of Matrix Algebra
 Appendix C: The Matrix Approach to Linear Regression Model
 Appendix D: Statistical Tables
 Appendix E: Computer Output of EViews, MINITAB, Excel, and STATA
 Appendix F: Economic Data on the World Wide Web