Showing posts with label graphs. Show all posts
Showing posts with label graphs. Show all posts

Wednesday, April 27, 2016

Fan Chart

Fan charts are a method of visualizing a distribution of economic forecasts, pioneered by the Bank of England for their quarterly inflation forecasts.

We are often asked if EViews can produce fan charts. At its heart, a fan chart is simply a type of area band chart. EViews has been able to produce area band charts for a number of previous versions. So whenever we have been asked if EViews can produce fan charts, we have said “yes”.

Recently, we decided to go one step further and replicate an official Bank of England fan chart in EViews, and this blog post will document the steps required to perform the replication.

We have decided to replicate a recent inflation report fan chart, specifically the November 2015 inflation fan chart available from the Bank of England.

Friday, March 18, 2016

How We Decide Which Features To Add


As developers of econometric software, one of the most common questions we are asked is how we decide which features to add to the next release of EViews.

There isn’t an easy way to answer this question – the process is often fluid and is different for every feature. Feature ideas generally come to us from one of the following sources:
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  • Directly from our user base, either on the EViews forum, through our technical support channels or through face to face meetings. 
  • From reading journal articles and text books to discover the latest trends in the field.
  • From visiting academic and professional conferences, such as ASSA, NABE or ISF.
  • From meetings held at our user conferences.
  • Research from our development team.

The recent release of EViews 9.5 gives us a chance to explore the process with some examples.

MIDAS

Perhaps the most anticipated feature in EViews 9.5 is MIDAS estimation, which allows estimation of regression models using data of different frequencies. MIDAS first came to our attention a few years ago during a casual conversation between our developers and one of our academic users at the Joint Statistical Meetings.

Our user suggested that EViews’ natural handling of data from different frequencies and our emphasis on time series analysis, coupled with MIDAS’ growing popularity made it a great candidate for a new feature.

Following up on that discussion, our development team began researching what would be involved in adding MIDAS to EViews. MIDAS would be the first estimation technique in EViews that inherently uses data based on different workfile pages.

While later attending the EViews co-sponsored ISF conference, we also noticed that a large part of the conference was devoted to MIDAS estimation and forecasting as well as nowcasting. By this time we were convinced that MIDAS was an obvious choice to add to EViews.