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- NEW UP-TO-DATE COVERAGE HIGHLIGHTS THE LATEST EMERGING DEVELOPMENTS IN THE FIELD. Updated examples throughout this edition and coverage of the latest developments from the field clearly illustrate how chapter concepts apply to actual practice in today's business world.
- NEW ADDITIONAL DATA SET FORMATS INTRODUCE STUDENTS TO DATA SETS IN SIX DIFFERENT FORMATS. This edition adds the R data set as an additional format for viewing data. In response to popular demand, this edition also provides the Minitab® format. With close to 100 data sets in six different formats, including R, Stata®, Minitab®, Microsoft® Excel, Text and EViews, instructors have the flexibility and instant access needed to present the formats preferred while teaching. For your convenience, all data sets are available on the book's companion website.
- NEW POWERPOINT® SLIDES BRING LECTURES TO LIFE WHILE VISUALLY CLARIFYING CONCEPTS. Slides are particularly useful for clarifying advanced topics in Part 3.
- NEW SCIENTIFIC WORD® SLIDES REINFORCE TEXT CONCEPTS AND LECTURE PRESENTATIONS. Created by text author Jeffrey M. Wooldridge, new Scientific Word® slides reinforce the book's PowerPoint® slides while highlighting the benefits of Scientific Word®, the application created for specifically composing mathematical, scientific and technical documents using LaTeX typesetting.
- NEW REVISED INSTRUCTOR'S MANUAL WITH SOLUTIONS. The Instructor's Manual with Solutions contains answers to all exercises, teaching tips and sources for each of the data files, with many suggestions for how to use them on problem sets, exams, and term papers.
- NEW ROBUST TEST BANK BY AUTHOR CLOSELY REFLECTS STRENGTHS IN LATEST TEXT. Author Jeffrey M. Wooldridge created Test Bank questions from actual tests developed for his own courses. You'll find a wealth and variety of problems, ranging from multiple-choice to questions about basic terminology.
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
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