Introduction to Econometrics

For courses in Introductory Econometrics  

Engaging applications bring the theory and practice of modern econometrics to life.

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

The Third 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:

• Personalized learning with MyEconLab–recommendations to help students better prepare for class, quizzes, and exams–and ultimately achieve improved comprehension in the course.
• 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.

Note: You are purchasing a standalone product; MyEconLab does not come packaged with this content. If you would like to purchase both the physical text and MyEconLab search for ISBN-10: 0133595420 ISBN-13: 9780133595420. That package includes ISBN-10: 0133486877 /ISBN-13: 9780133486872 and ISBN-10: 0133487679/ ISBN-13: 9780133487671. 

MyEconLab is not a self-paced technology and should only be purchased when required by an instructor. 

TABLE OF CONTENTS 

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