EViews 7.2 Standard

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What's new in Eviews 7

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.
  • Improved command entry interface with enhanced command editing and recall, and undocking of the command window.
  • The new Add-ins interface lets you create user-defined programs that are virtually indistinguishable from built-in-features. Download ready-to-install Add-ins from the EViews website.
  • Improved graph options interface.
  • Updated global options interface.
  • Auto-update EViews from the web.
  • All new compiled-HTML based help system.

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, daily with an arbitrary range of days of the week.
  • Greatly enhanced support for strings, including new string and string vector objects, and an extensive library of new functions for creating and manipulating string lists, and improved programming support.
  • Now offers direct EViews support for connecting to, opening, querying, and importing from the FRED® (Federal Reserve Economic Data) database.
  • New support for reading Microsoft Excel® 2007 XLSX Files.
  • Improved data import with new command line tools for reading foreign data into an existing workfile.
  • EViews database capacity has been expanded from 2GB to 64GB.

Graphs

  • New “live” graphs autoupdate as the underlying data change.
  • Improved graph options interface.
  • Interactive observation and value display.
  • Improved control over formatting of dates in the observation scale.
  • Added control over date label positioning and two row labeling.
  • Enhanced control over date/observation axis grid line placement.
  • More flexible custom labels for the observation scale.

Programming Support

  • User-defined dialog functions allow you to create your own dialogs to interact with users.
  • The new, easy-to-use Addins infrastructure provides seamless access to userdefined programs from the standard EViews command, menu, and object interfaces.
  • Programs now support message logging.
  • The program file editor now supports quick multi-line commenting and automatic formatting.
  • Greatly enhanced support forstrings, including new string and string vector objects, and an extensive library of new functions for creating and manipulating string lists.
  • Enhanced support for text objects.
  • New object data members for extracting information about an object in the workfile.
  • A new family of functions for obtaining information about the current EViews environment.

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.
  • Configure external applications or develop programs that use the new EViews OLEDB driver to read data stored in EViews workfiles (WF1) and EViews databases (EDB).
  • The new EViews COM automation server allows you to create scripts or programs that launch and control EViews, transfer data, and execute EViews commands.
  • Use EViews to interact with the powerful programming languages of MATLAB® and R.

Econometrics and Statistics

Computation

  • Interpolation (Linear, Log-linear, Catmul-Rom Spline, Cardinal Spline) is offered as a series procedure.
  • Whitening is now offered as a series or group procedure.
  • Long-run variances and covariances may be calculated from a series or group of series.
  • Variance ratio testing may be performed on a series.
  • Single equation tests for cointegration.

Estimation

  • Improved single equation TSLS/IV and GMM estimation (featuring new LIML and K-class estimators).
  • Single equation Cointegrating Regression.
  • Generalized Linear Models.
  • New methods of specifying weighted least squares.

Testing and Diagnostics

  • Expanded choice of coefficient covariance estimators for single equation regression models.
  • New set of post-estimation diagnostics for single equation regression models.
  • Additional test and diagnostic views for TSLS and GMM estimation.
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