Solution manual for Essentials of Econometrics Gujarati Porter 4th edition


Essentials of Econometrics Gujarati Porter 4th edition solutions manual

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solutions manual Essentials of Econometrics Gujarati Porter 4th edition

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Table of Contents
Chapter 1: The Nature and Scope of Econometrics
Part I: The Linear Regression Model
Chapter 2: Basic Ideas of Linear Regression
Chapter 3: The Two-Variable Model: Hypothesis Testing
Chapter 4: Multiple Regression: Estimation and Hypothesis Testing
Chapter 5: Functional Forms of Regression Models
Chapter 6: Dummy Variable Regression Models
Part II: Regression Analysis in Practice
Chapter 7: Model Selection: Criteria and Tests
Chapter 8: Multicollinearity: What Happens if Explanatory Variables are Correlated?
Chapter 9: Heteroscedasticity: What Happens if the Error Variance is Nonconstant?
Chapter 10: What Happens if Error Terms are Correlated?
Part II: Advanced Topics in Econometrics
Chapter 11: Simultaneous Equation Models
Chapter 12: Selected Topics in Single-Equation Regression Models
Appendix A: Review of Statistics: Probability and Probability Distributions
Appendix B: Characteristics of Probability Distributions
Appendix C: Some Important Probability Distributions
Appendix D: Statistical Inference: Estimation and Hypothesis Testing

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