目次

Preface. Chapter 1 An Introduction to Econometrics. A Probability Primer. Chapter 2 The Simple Linear Regression Model. Chapter 3 Interval Estimation and Hypothesis Testing. Chapter 4 Prediction, Goodness–of–Fit and Modeling Issues. Chapter 5 The Multiple Regression Model. Chapter 6 Further Inference in the Multiple Regression Model. Chapter 7 Using Indicator Variables. Chapter 8  Heteroskedasticity. Chapter 9 Regression with Time Series Data: Stationary Variables. Chapter 10 Random Regressors and Moment Based Estimation.  Chapter 11 Simultaneous Equations Models. Chapter 12  Regression with Time Series Data: Nonstationary Variables. Chapter 13 Vector Error Correction and Vector Autoregressive Models. Chapter 14 Time–Varying Volatility and ARCH Models. Chapter 15 Panel Data Models. Chapter 16 Qualitative and Limited Dependent Variable Models. Appendix A Review of Math Essentials. Appendix B Review of Probability Concepts. Appendix C Review of Statistical Inference. Appendix D. Index.