Gujarati and Porters Basic Econometrics provides an elementary but comprehensive introduction to econometrics without resorting to matrix algebra, calculus, or statistics beyond the elementary level. With the addition of over 100 new data sets, as well as significantly updated research and examples, the Fifth Edition responds to important developments in the theory and practice of econometrics. Basic Econometrics is widely used by students of all fields as the expanded topics and concrete applications throughout the text apply to a broad range of studies.

## 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
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