![eviews 10 eviews 10](https://loozap.com/storage/files/gh/j_18-08-2019/thumb-816x460-listings360_17277_15617373097383530_620x493.jpg)
We can import this data directly into EViews by clicking on File/Import/Import from file and then enter the following URL into the File name box: The bank provides the data in an Excel file. To obtain the forecasts, first fetch the forecast distribution data from the Bank of England.
#Eviews 10 series#
Series cpig = now have the required historical values. Since the Bank of England fan charts deal with the annual growth rate of inflation, we will create a growth rate series by typing the command:
#Eviews 10 code#
Next, enter the Quandl code for UK inflation, RATEINF/CPI_GBR, (which we found by performing a search on the website) in the top box, and then change the Import Choice option to be “Import into Page”.Ĭlicking on OK results in the data being brought into our workfile page as the series “value”. Once installed, use the menu item Add-ins/Download Quandl Data to bring up the Quandl Add-in dialog.
#Eviews 10 install#
If you don’t have the GetQuandl add-in already installed, you can install directly from within EViews by using the Add-ins/Download Add-ins menu item, then select the GetQuandl add-in and follow the instructions to install.
![eviews 10 eviews 10](https://i3.wp.com/filecr.com/wp-content/uploads/2018/12/Scr2_EViews-Enterprise_free-download.png)
To retrieve the historical data, use the handy GetQuandl add-in to fetch the data directly from the Quandl website. We’ll create a new EViews workfile to hold the inflation data by clicking on File/New/Workfile, and select quarterly as the frequency with a start date of 2009 and end date of 2018, giving us enough room for a few years of forecasts. Nevertheless, the first step in the replication is to obtain the historical inflation numbers. However it isn’t quite so easy, since the Bank of England does not provide the forecast quantile values, rather they only provide distribution parameters for the assumed distribution of the forecasts. Simply obtain the historical inflation series, along with the median and quantile forecast series used to create the fans, then put those series in a group and create an area band chart from them. We have decided to replicate a recent inflation report fan chart, specifically the November 2015 inflation fan chart available from the Bank of England.Īt first glance, this fan chart is simple to re-produce in EViews. 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. So whenever we have been asked if EViews can produce fan charts, we have said “yes”. EViews has been able to produce area band charts for a number of previous versions. At its heart, a fan chart is simply a type of area band chart. We are often asked if EViews can produce fan charts. Fan charts are a method of visualizing a distribution of economic forecasts, pioneered by the Bank of England for their quarterly inflation forecasts.