**Complete eTextbook Content:**

PART I: INTRODUCTION AND REVIEW

1. Economic Questions and Data

2. Review of Probability

3. Review of Statistics

PART II: FUNDAMENTALS OF REGRESSION ANALYSIS

4. Linear Regression with One Regressor

5. Regression with a Single Regressor: Hypothesis Tests and Confidence Intervals

6. Linear Regression with Multiple Regressors

7. Hypothesis Tests and Confidence Intervals in Multiple Regression

8. Nonlinear Regression Functions

9. Assessing Studies Based on Multiple Regression

PART III: FURTHER TOPICS IN REGRESSION ANALYSIS

10. Regression with Panel Data

11. Regression with a Binary Dependent Variable

12. Instrumental Variables Regression

13. Experiments and Quasi-Experiments

14. Prediction with Many Regressors and Big Data

PART IV: REGRESSION ANALYSIS OF ECONOMIC TIME SERIES DATA

15. Introduction to Time Series Regression and Forecasting

16. Estimation of Dynamic Causal Effects

17. Additional Topics in Time Series Regression

PART V: THE ECONOMIC THEORY OF REGRESSION ANALYSIS

18. The Theory of Linear Regression with One Regressor

19. The Theory of Multiple Regression

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Name: Introduction to Econometrics, Global Edition, 4th Edition

Author: James H. Stock, Mark W. Watson

Edition: 4th

ISBN-10: 1292264454

ISBN-13: 978-1292264455

Type: eTextbook

This is a eBook for the actual textbook of Introduction to Econometrics, Global Edition, 4th Edition, by James H. Stock, Mark W. Watson.

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