Introduction to Econometrics, Global Edition, 4th Edition eTextbook by James H. Stock, Mark W. Watson

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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