EViews 7 features a wide range of exciting changes and improvements. The following is an overview of the most important new features in Version 7. See also our brochure.
Performance
• Optimized routines for faster computation.
• Multi-processor/core support with custom user settings.
EViews Interface
• "Theme" support lets you customize the appearance of your EViews windows.
• Enhanced drag-and-drop support throughout the program.
• Improved command entry interface with enhanced command editing and recall, and undocking of the command window.
• Improved graph options interface.
• Updated global options interface.
• Auto-update from the web ensures that your copy of EViews 7 is always up-to-date.
Data Handling
• New workfile data frequencies: high-frequency (Intraday) data, with full support for hours, minutes, and seconds frequencies, multi-year, bimonthly, fortnight, 10-day, and daily with an arbitrary range of days of the week.
• Greatly enhanced support for strings, including new string and string vector objects, an extensive library of new functions for creating and manipulating string lists, and improved programming support.
• EViews now offers direct support for connecting to, opening, querying, and importing from the FRED® (Federal Reserve Economic Data) database.
• Support for reading Excel 2007 XLSX Files.
• Improved data import featuring more powerful command line tools for reading foreign data into an existing workfile.
Graphs
• New "live" graphs auto-update as the underlying data change.
• Improved graph options interface.
• Interactive observation info display lets you inspect labels and values associated with point on a graph.
• Improved control over formatting of dates in the observation scale/axis.
• More flexible custom observation labels for the observation scale/axis.
• Added control over date label positioning and two row labeling.
• Enhanced control over date/observation axis grid line placement.
Programming Support
• User-defined dialog functions allow you to create dialogs to interact with users.
• Programs now support message logging.
• Program file editor supports quick multi-line commenting.
• Greatly enhanced support for strings, including new string and string vector objects, an extensive library of new functions for creating and manipulating string lists, and improved programming support.
• Enhanced support for text objects.
• New object data members.
• New general information functions.
External Interfaces
• The new EViews Microsoft Excel Add-in offers a simple interface for reading data stored in Eviews
workfiles and databases from within Microsoft Excel.
• External programs may use the new EViews OLEDB driver to read data stored in EViews workfiles (WF1) and EViews databases (EDB).
• You may use the EViews COM automation server by creating scripts or programs that launch or control EViews, transfer data, and execute EViews commands.
• EViews COM Automation Client Support for MATLAB and R allows you to use EViews to interact with the powerful programming languages of MATLAB and R. Econometrics and Statistics
Computation
• Interpolation tools (Linear, Log-linear, Catmul-Rom Spline, Cardinal Spline) are now offered as a series procedure.
• Whitening is now offered as a series or group procedure.
• Long-run variances and covariances may now be calculated from a series or group of series.
• Variance ratio testing for a random walk or martingale in a series.
• Single equation tests for cointegration are provided for a group of series or for an equation estimated using cointegrating regression.
Estimation
• Greatly improved single equation Instrumental Variables/Two-Stage Least Squares and GMM estimation (with new support for LIML and K-class estimation).
• Bult-in support for specification and eatimation of single equation cointegrating regression.
• Support for specification and estimation of Generalized Linear Models.
• New methods of specifying weights for weighted least squares.
Diagnostics
• Expanded choice of coefficient covariance estimators for single equation regression models.
• Enhanced post-estimation diagnostics for single equation regression models.
• New test and diagnostic views for TSLS and GMM equations. |