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For courses in Introductory Econometrics

Ensure students grasp the relevance of econometrics with Introduction to Econometrics–the text that connects modern theory and practice with motivating, engaging applications.

The 3rd Edition Update maintains a focus on currency, while building on the philosophy that applications should drive the theory, not the other way around.

This program provides a better teaching and learning experience–for you and your students. Here’s how:

• Keeping it current with new and updated discussions on topics of particular interest to today’s students.

• Presenting consistency through theory that matches application.

• Offering a full array of pedagogical features.

Introduction to Econometrics, Update

• Part I. Introduction and Review  
• 1. Economic Questions and Data
• 2. Review of Probability
• 3. Review of Statistics
• Part II. Fundamentals of Regression Analysis  
• 4. Linear Regression with One Regressor
• 5. Regression with a Single Regressor: Hypothesis Tests and Confidence Intervals  
• 6. Linear Regression with Multiple Regressors  
• 7. Hypothesis Tests and Confidence Intervals in Multiple Regression  
• 8. Nonlinear Regression Functions  
• 9. Assessing Studies Based on Multiple Regression  
• Part III. Further Topics in Regression Analysis  
• 10. Regression with Panel Data
• 11. Regression with a Binary Dependent Variable  
• 12. Instrumental Variables Regression  
• 13. Experiments and Quasi-Experiments
• Part IV. Regression Analysis of Economic Time Series Data  
• 14. Introduction to Time Series Regression and Forecasting
• 15. Estimation of Dynamic Causal Effects  
• 16. Additional Topics in Time Series Regression
• Part V. The Econometric Theory of Regression Analysis  
• 17. The Theory of Linear Regression with One Regressor
• 18. The Theory of Multiple Regression