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<> PART ONE: INTRODUCTION AND REVIEW Chapter 1 Economic Questions and Data Chapter 2 Review of Probability Chapter 3 Review of Statistics PART TWO: FUNDAMENTALS OF REGRESSION ANALYSIS Chapter 4 Linear Regression with One Regressor Chapter 5 Regression with a Single Regressor: Hypothesis Tests and Confidence Intervals Chapter 6 Linear Regression with Multiple Regressors Chapter 7 Hypothesis Tests and Confidence Intervals in Multiple Regression Chapter 8 Nonlinear Regression Functions Chapter 9 Assessing Studies Based on Multiple Regression PART THREE: FURTHER TOPICS IN REGRESSION ANALYSIS Chapter 10 Regression with Panel Data Chapter 11 Regression with a Binary Dependent Variable Chapter 12 Instrumental Variables Regression Chapter 13 Experiments and Quasi-Experiments PART FOUR: REGRESSION ANALYSIS OF ECONOMIC TIME SERIES DATA Chapter 14 Introduction to Time Series Regression and Forecasting Chapter 15 Estimation of Dynamic Causal Effects Chapter 16 Additional Topics in Time Series Regression PART FIVE: THE ECONOMETRIC THEORY OF REGRESSION ANALYSIS Chapter 17 The Theory of Linear Regression with One Regressor Chapter 18 The Theory of Multiple Regression Appendix: Statistical Tables Table of Contents
Get Introduction to Econometrics, 2nd Edition by James H. Stock, Harvard University Mark W. Watson, Princeton University
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