Includes bibliographical reference and index

CHAPTER 1. The nature of econometrics and economic date

CHAPTER 2. The simple regression model ;

CHAPTER 3. Multiple regression analysis : estimation ;

CHAPTER 4. Multiple regression analysis : inference ;

CHAPTER 5. Multiple regression analysis : OLS asymptotics ;

CHAPTER 6. Multiple regression analysis : further issues ;

CHAPTER 7. Multiple regression analysis with qualitative information ;

CHAPTER 8. Heteroskedasticity ;

CHAPTER 9. More on specification and data issues

CHAPTER 10. Basic regression analysis with time series data ;

CHAPTER 11. Further issues in using OLS with time series data ;

CHAPTER 12. Serial correlation and heteroskedasticity in time series regressions

CHAPTER 13. Pooling cross sections across time : simple panel data methods ;

CHAPTER 14. Advanced panel data methods ;

CHAPTER 15. Instrumental variables estimation and two-stage least squares ;

CHAPTER 16. Simultaneous equations models ;

CHAPTER 17. Limited dependent variable models and sample selection corrections ;

CHAPTER 18. Advanced time series topics ;

CHAPTER 19. Carrying out an empirical project

Gain an understanding of how econometrics can answer today's questions in business, policy evaluation and forecasting with Wooldridge's "Introductory econometrics: a modern approach" 7ed. Unlike traditional texts, this book's practical, yet professional, approach demonstrates how econometrics has moved beyond a set of abstract tools to become genuinely useful for answering questions across a variety of disciplines. The author has organized the book's presentation around the type of data being analyzed with a systematic approach that only introduces assumptions as they are needed. This makes the material easier to understand and, ultimately, leads to better econometric practices. Packed with relevant applications, the text incorporates more than 100 data sets in different formats. Updates introduce the latest developments in the field, including the recent advances in the so-called causal effects or treatment effects," to provide a complete understanding of the impact and importance of econometrics today.