What is EViews?

EViews is a modern econometric, statistics, and forecasting package that offers powerful analytical tools within a flexible, easy-to-use interface.

Using EViews, you can quickly and efficiently manage your data, perform econometric and statistical analysis, generate forecasts or model simulations, and produce high quality graphs and tables for publication or inclusion in other applications.

EViews is designed with your workflow in mind. The innovative EViews user-interface simplies every step of the process, from data input and import, to data visualization, statistical analysis, estimation, forecasting and model solving, publication quality presentation output.

Need to import Excel data? Just drag-and-drop your Excel file onto EViews and we’ll automatically import the data. Need to produce a histogram of your data? A couple of mouse clicks, and you’re done. Want to link your custom formatted table into PowerPoint? Simply copy-and-paste the table and tell PowerPoint to update the table when your EViews data change.

Why use EViews?

The innovative EViews interface is easy use, having been designed from the ground-up to take advantage of modern Windows operating systems. Most users are able to master the interface within minutes of first being introduced to EViews. There is no complicated syntax to learn – a few mouse strokes or keyboard clicks and you’re off and running!

EViews integrates with your other Windows products. In addition to opening and saving to a large range of different file formats (from webpages to Excel to Stata or SAS), EViews supports standard Windows technologies such as copy-and-pasting, object linking and embedding, and ODBC connections.

Although EViews’ core design features a mouse driven user-interface, EViews also offers an extensive programming and command language. All actions in EViews can be scripted to automate repetitive tasks, or to keep a record of your work.

EViews Features.

BASIC DATA HANDLING

• Numeric, alphanumeric (string), and date series; value labels.
• Extensive library of operators and statistical, mathematical, date and string functions.
• Powerful language for expression handling and transforming existing data using operators and functions.
• • Samples and sample objects facilitate processing on subsets of data.
  • Support for complex data structures including regular dated data, irregular dated data, cross-section data with observation identifiers, dated, and undated panel data.
  • Multi-page workfiles.
  • EViews native, disk-based databases provide powerful query features and integration with EViews workfiles.
  • Convert data between EViews and various spreadsheet, statistical, and database formats, including (but not limited to): Microsoft Access® and Excel® files (including .XSLX and .XLSM), Gauss
    Dataset files, SAS® Transport files, SPSS native and portable files, Stata
    files, Tableau®, raw formatted ASCII text or binary files, HTML, or ODBC databases
    and queries (ODBC support is provided only in the Enterprise Edition).
  • OLE support for linking EViews output, including tables and graphs, to other packages, including Microsoft Excel®, Word® and Powerpoint®.
  • OLEDB support for reading EViews workfiles and databases using OLEDB-aware clients or custom programs.
  • Support for FRED® (Federal Reserve Economic Data), DBNomics, World Bank, NOAA, US Census, US BEA, US BLS, ECB SDMX, IMF SDMX, UN SDMX and EuroStat databases.
  • Enterprise Edition support for Global Insight DRIPro and DRIBase, Haver Analytics® DLX®, FAME, EcoWin, Bloomberg®, EIA®, CEIC®®, Datastream®, FactSet, and Moody’s Economy.com databases
  • The EViews Microsoft Excel® Add-in allows you to link or import data from EViews workfiles and databases from within Excel.
  • Drag-and-drop support for reading data; simply drop files into EViews for automatic conversion and linking of foreign data and metadata into EViews workfile format.
  • Powerful tools for creating new workfile pages from values and dates in existing series.
  • Match merge, join, append, subset, resize, sort, and reshape (stack and unstack) workfiles.
  • Easy-to-use automatic frequency conversion when copying or linking data between pages of different frequency.
  • Frequency conversion and match merging support dynamic updating whenever underlying data change.
  • Auto-updating formula series that are automatically recalculated whenever underlying data change.
  • Easy-to-use frequency conversion: simply copy or link data between pages of different frequency.
  • Tools for resampling and random number generation for simulation. Random number generation for 18 different distribution functions using three different random number generators.
  • Support for cloud drive access, allowing you to open and save file directly to Dropbox, OneDrive, Google Drive and Box accounts.

TIME SERIES DATA HANDLING

• Integrated support for handling dates and time series data (both regular and irregular).
• Support for common regular frequency data (Annual, Semi-annual, Quarterly, Monthly, Bimonthly, Fortnight, Ten-day, Weekly, Daily – 5 day week, Daily – 7 day week).
• Support for high-frequency (intraday) data, allowing for hours, minutes, and seconds frequencies. In addition, there are a number of less commonly encountered regular frequencies, including Multi-year, Bimonthly, Fortnight, Ten-Day, and Daily with an arbitrary range of days of the week.
• Specialized time series functions and operators: lags, differences, log-differences, moving averages, etc.
• Frequency conversion: various high-to-low and low-to-high methods.
• Exponential smoothing: single, double, Holt-Winters, and ETS smoothing.
• Built-in tools for whitening regression.
• Hodrick-Prescott filtering.
• Band-pass (frequency) filtering: Baxter-King, Christiano-Fitzgerald fixed length and full sample asymmetric filters.
• Seasonal adjustment: Census X-13, STL Decomposition, MoveReg, X-12-ARIMA, Tramo/Seats, moving average.
• Interpolation to fill in missing values within a series: Linear, Log-Linear, Catmull-Rom Spline, Cardinal Spline.
• Wavelets: transforms, decomposition of variance, outlier detection, and thresholding.