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Shows how econometrics is a useful tool for answering questions in business, policy evaluation and forecasting environments.

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This title has been adapted for use in Europe, the Middle East and Africa and has been tailored to meet the demands of today´s lecturers and students.

Jeffrey M. Wooldridge´s Introduction to Econometrics shows how econometrics is a useful tool for answering questions in business, policy evaluation and forecasting environments. Packed with timely, relevant applications, the text incorporates close to 100 intriguing data sets, available in six formats, with appendices and questions available online.

Unique organization pioneered by the author clearly presents applications for today´s students. This comprehensive econometrics text pioneered the approach of explicitly covering cross-sectional applications first, followed by time series applications, and, ultimately, panel data applications in the advanced chapters.

Practical application prepares students to use econometrics in business today. This unique, comprehensive text applies econometrics to actual real business problems, demonstrating how each method answers a particular issue facing researchers who are analyzing non-experimental data.

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1. The Nature of Econometrics and Economic Data
2. The Simple Regression Model
3. Multiple Regression Analysis: Estimation
4. Multiple Regression Analysis: Inference
5. Multiple Regression Analysis: OLS Asymptotics
6. Multiple Regression Analysis: Further Issues
7. Multiple Regression Analysis with Qualitative Information: Binary (or Dummy) Variables
8. Heteroskedasticity
9. More on Specification and Data Issues
10. Basic Regression Analysis with Time Series Data
11. Further Issues in Using OLS with Time Series Data
12. Serial Correlation and Heteroskedasticity
13. Pooling Cross Sections Across Time: Simple Panel Data Methods
14. Advanced Panel Data Methods
15. Instrumental Variables Estimation and Two Stage Least Squares
16. Simultaneous Equations Models
17. Limited Dependant Variable Models and Sample Selection Corrections
18. Advanced Time Series Topics
19. Carrying Out an Empirical Project

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