EViews Features
Testing and Evaluation

  • Actual, fitted, residual plots.
  • Wald tests for linear and nonlinear coefficient restrictions; confidence ellipses showing the joint confidence region of any two functions of estimated parameters.
  • Omitted and redundant variables LR tests, residual and squared residual correlograms and Q-statistics, residual serial correlation and ARCH LM tests.
  • White, Breusch-Pagan, Godfrey, Harvey and Glejser heteroskedasticity tests.
  • Chow breakpoint and forecast tests, Quandt-Andrews unknown breakpoint test, Ramsey RESET tests, OLS recursive estimation.
  • ARMA equation diagnostics: graphs or tables of the inverse roots of the AR and/or MA characteristic polynomial, compare the theoretical (estimated) autocorrelation pattern with the actual correlation pattern for the structuralresiduals, display the ARMA impulse response to an innovation shock.
  • Easily save results (coefficients, coefficient covariance matrices, residuals, gradients, etc.) to EViews objects for further analysis.
  • <See also Estimation and System of Equations for specialized testing procedures>.

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Last Revised:1/16/2008