EViews 6.0 Standard
Econometric Tools
Unlike some other econometric software, there is no reason for most users to learn a complicated command language. EViews' built-in procedures are a mouse-click away and provide the tools most frequently used in practical econometric and forecasting work.
Basic Statistics
Basic descriptive statistics are easily computed over an entire
sample, by a categorisation based on one or more variables, or by
cross-section or period in panel or pooled data. Hypothesis tests on
mean, median and variance may be carried out, including testing against
specific values, testing for equality between series, or testing for
equality within a single series when classified by other variables
(which allows you to perform one-way ANOVA).
You can graphically view the distribution of your data using
histograms, or cumulative distribution, survivor, and quantile plots.
QQ-plots (quantile-quantile plots) can be used to compare the
distribution of a pair of series, or the distribution of a single
series against a variety of theoretical distributions. You can even
perform Kolmogorov-Smirnov, Liliefors, Cramer von Mises, and
Anderson-Darling tests to see whether your series is distributed
normally, or whether it comes from another distribution such as an
exponential, extreme value, logistic, chi-square, Weibull, or gamma
distribution. You may provide parameters for the distribution, or let
EViews estimate the parameters for you. EViews also calculates kernel
density estimates, and produces scatter plots with curve fitting using
ordinary, transformation, kernel, and nearest neighbor regression.
To explore the time series properties of your data, EViews provides unit root tests (ADF, Phillips-Perron, KPSS, DFGLS, ERS and Ng-Perron for single time series and Levin-Lin-Chu, Breitung, Im-Pesaran-Shin, Fisher, and Hadri for panel data), cointegration tests (with MacKinnon-Haug-Michelis critical values and p-values), causality tests, autocorrelation and partial autocorrelation functions, Q-statistics, and cross-correlation functions.
Seasonal Adjustment
EViews 5 provides easy-to-use front-end support for the U.S. Census
Bureau's X11 and X12-ARIMA seasonal adjustment programs, as well as the
Tramo/Seats software frequently used in Europe. Simple seasonal
adjustment using additive and multiplicative difference methods is also
supported in EViews.
Filters
EViews computes trends from time series data using the Hodrick-Prescott filter. New to EViews 5 is the ability to apply Baxter-King, Christiano-Fitzgerald fixed length and Christiano-Fitzgerald asymmetric full sample band-pass (frequency) filters to your data.