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Designed for a first course in introductory econometrics, Introduction to Econometrics, reflects modern theory and practice, with interesting applications that motivate and match up with the theory to ensure students grasp the relevance of econometrics. Authors James H. Stock and Mark W. Watson integrate real-world questions and data into the development of the theory, with serious treatment of the substantive findings of the resulting empirical analysis.

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 Regresso

　Chapter 18 The Theory of Multiple Regression

Appendix: Statistical Tables

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