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.