Join us at ASSA 2016

Come visit us at the Hilton San Francisco Financial District’s Grand Ballroom at booths 403 & 405 and see why EViews 9 is preferred by economists. We have many great new features and analytical methods to show you. We will also be giving away our new EViews 9 Student Version to academics, as well as other giveaways. We hope to see you soon at ASSA 2016.

HAPPY HOLIDAYS

Created with EViews program xmas.prg.

Best Wishes And Warmest Thoughts 
For A Wonderful Holiday 
And A Happy New Year.

Add-in Round Up

In this section of the blog we provide a summary of the Add-ins that have been released or updated in the previous few months, and we announce the winner of our “Add-in of the Quarter” prize!

As a reminder, EViews Add-ins are additions to the EViews interface or command language written by our users or the EViews development team and released to the public. You can install Add-ins to your EViews by using the Add-ins menu from within EViews, or by visiting the EViews website.

The past few months have seen the release of three new Add-ins: HEGY, Backtest and FAVAR.

Welcome to “It’s About Time”

Meet EViews’ dynamic team of economists, scientists, and developers as we blog about diverse topics that will give you more insight into EViews’ capabilities and application. From discussing current time series and econometric principles to comparing EViews’ performance against the competition, we will have an interesting story to tell you. Additionally, whether you are a professional user or new to EViews, you will discover new ways to use EViews.

Leave us a comment … we want to hear from you. Quite possibly, you can influence the future of EViews with your opinion. We have listed "Our Favorite Blogs" we believe you will find useful. Also remember to follow us by submitting your email so you will be notified of any new blog posts.

Automatic Forecasting of the M3 Data

In a recent post on his excellent Hyndsight blog, Rob Hyndman compared the results of the R forecasting package with those of some commercial automatic forecasting software packages using data from the M3 forecasting competition.

We don’t consider EViews to be an automatic forecasting package, but EViews does include two of the most widely used forecasting techniques; Box-Jenkins ARIMA models, and Error, Trend, Season (ETS) exponential smoothing models, and includes “automatic selection” versions of both techniques, letting EViews decide the best specification for each.

You can view a demonstration of automatic ARIMA forecasting in EViews here: