A. H. Studenmund, Occidental College 

1. An Overview of Regression Analysis


2. Ordinary Least Squares


3. Learning to Use Regression Analysis


4. The Classical Model


5. Hypothesis Testing and Statistical Inference


6. Specification: Choosing the Independent Variables


7. Specification: Choosing a Functional Form


8. Multicollinearity


9. Serial Correlation


10. Heteroskedasticity


11. Running Your Own Regression Project


12. Time-Series Models


13. Dummy Dependent Variable Techniques


14. Simultaneous Equations


15. Forecasting


16. Experimental and Panel Data 

• The book's intuitive approach omits matrix algebra and relegates proofs and calculus to the footnotes or exercises to make core concepts easier to grasp.


• An example-oriented approach helps students practice and understand applied economics.


• NEW! Expanded econometric content includes new tests and procedures, such as the Breusch-Pagan test and the Weinstein-Prais Approach to Generalized Least Squares.


• NEW! Stata, the economic software package of choice among economists, is used throughout the text. All text examples and exercises are estimated with Stata, and an explanation of the software is included in the appendix and on the website.


• Interactive Regression Learning Exercises help students simulate economic analysis by giving them feedback on various decisions without much computer time or instructor supervision.


• UPDATED! Answers to exercises in the text have been tripled and can be found in the appendices, allowing students to learn on their own.