Single equation regression is one of the most versatile and widely used statistical techniques. Here, we describe the use of basic regression techniques in EViews: specifying and estimating a regression model, performing simple diagnostic analysis, and using your estimation results in further analysis.

Subsequent chapters discuss testing and forecasting, as well as advanced and specialized techniques such as weighted least squares, nonlinear least squares, ARIMA/ARIMAX models, two-stage least squares (TSLS), generalized method of moments (GMM), GARCH models, and qualitative and limited dependent variable models. These techniques and models all build upon the basic ideas presented in this chapter.

You will probably find it useful to own an econometrics textbook as a reference for the techniques discussed in this and subsequent documentation. Standard textbooks that we have found to be useful are listed below (in generally increasing order of difficulty):

Where appropriate, we will also provide you with specialized references for specific topics.