Preface -
Acknowledgments -
Introduction -
PART ONE Single-Equation Regression Models:
1 The Nature of Regression Analysis -
2 Two-Variable Regression Analysis: Some Basic Ideas -
3 Two-Variable Regression Model: The Problem of Estimation -
4 Classical Normal Linear Regression Model (CNLRM) -
5 Two-Variable Regression: Interval Estimation and Hypothesis Testing -
6 Extensions of the Two-Variable Linear Regression Model -
7 Multiple Regression Analysis: The Problem of Estimation -
8 Multiple Regression Analysis: The Problem of Inference -
9 Dummy Variable Regression Models -
PART TWO Relaxing the Assumptions of the Classical Model:
10 Multicollinearity: What Happens If the Regressors Are Correlated? -
11 Heteroscedasticity: What Happens If the Error Variance Is Nonconstant? -
12 Autocorrelation: What Happens If the Error Terms Are Correlated? -
13 Econometric Modeling: Model Specification and Diagnostic Testing -
PART THREE Topics in Econometrics:
14 Nonlinear Regression Models –
15 Qualitative Response Regression Models –
16 Panel Data Regression Models –
17 Dynamic Econometric Models: Autoregressive and Distributed-Lag Models -
PART FOUR Simultaneous-Equation Models and Time Series Econometrics:
18 Simultaneous-Equation Models -
19 The Identification Problem -
20 Simultaneous-Equation Methods -
21 Time Series Econometrics: Some Basic Concepts -
22 Time Series Econometrics: Forecasting -
APPENDICES:
A A Review of Some Statistical Concepts -
B Rudiments of Matrix Algebra -
C The Matrix Approach to Linear Regression Model -
D Statistical Tables -
E Computer Output of EViews, MINITAB, Excel, and STATA -
F Economic Data on the World Wide Web -
SELECTED BIBLIOGRAPHY.

Basic Econometrics, 7th Edition by Damodar N. Gujarati and Dawn C. Porter is a trusted and widely acclaimed textbook that introduces students to the fundamentals of econometric theory and practice. This edition continues its clear, intuitive approach, balancing technical rigor with real-world application. Featuring updated examples, new datasets, and expanded coverage of modern techniques, it caters to both undergraduate and graduate students in economics, business, and social sciences. The book emphasizes practical interpretation of econometric results, making it highly accessible to learners without deep mathematical backgrounds. It’s a comprehensive guide for anyone seeking a solid foundation in econometrics.