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Model Specification and Diagnostic Testing and Implementation in EViews

Model specification and diagnostic testing is a mandatory step in any econometric research immediately following equation estimation. This essential process helps researchers evaluate whether the chosen model violates core statistical assumptions, thereby ensuring that subsequent statistical inferences and forecasts drawn from the model are completely valid and reliable. In the EViews software, this powerful and comprehensive suite of diagnostic tools is intuitively integrated directly into the Equation object window. Users simply need to click the View button on the equation's toolbar to access the main diagnostic testing categories: First, the Residual Diagnostics category allows you to test assumptions regarding the error term. You can select the Histogram - Normality Test to check for normal distribution, the Serial Correlation LM Test to detect autocorrelation, or various Heteroskedasticity Tests (such as White, Breusch-Pagan-Godfrey, and Glejser) to check for non-constant variance. Second, the Coefficient Diagnostics category assists in evaluating variable significance and appropriate specification. Here, you can perform standard Wald tests, Omitted and Redundant Variables tests, as well as check for multicollinearity issues using Variance Inflation Factors (VIF). Third, the Stability Diagnostics category is used to rigorously check for parameter constancy and structural breaks over time. Prominent tools in this section include the Ramsey RESET test for functional form misspecification, the Chow Breakpoint test, and recursive residual estimates such as the CUSUM test.