|The US Model in EViews 7: October 30, 2014|
|If you have EViews
on your computer and want to work with the US model in EViews, you can do
downloading the relevant datasets. The datasets are zipped in the file:
You should download this file by clicking it, and then unzip it. The
datasets in it are:
The following discussion assumes that you know EViews 7. If not, you should learn EViews first before trying to get the model working in it.
Enter EViews and type LOAD FM. The entire model is now loaded. In the main workfile the model is called FMA. If you double click FMA, you are ready to go. The model has been solved for the 2014:4--2022:4 period in the workfile, and the solution values end with _0. These solution values are the forecast values of the October 30, 2014, forecast within rounding error. You do not need the datasets FMGENR.PRG, FMEQ.PRG, and FMA, which are included in FMEV.ZIP, but they may be useful for reference purposes. FMGENR.PRG generates various variables, and FMEQ.PRG estimates the model.
EViews handles the use of 2SLS with autoregressive errors somewhat differently than does the FP program, and so some of the estimates using EViews differ slightly those using the FP program. EViews sometimes adds instruments from the ones specified, which FP does not. If the ALT2SLS option is used in the FP program (see page 61 of the User's Guide), which is used for the estimation of the US model, then extra instruments do not have to be added to insure consistency. The largest differences in coefficient estimates occur for equation 11. You will thus not exactly duplicate the US model forecast in EViews if you use the EViews estimates, but the results are close.
Two variables are renamed when using EViews. COS is renamed COSS, and AR is renamed ARR.
This should be enough to get you started. If you want to modify the model in bigger ways than are allowed on this site and/or want to estimate the model, EViews allows you to do this.
NOTE: This site receives no money from EViews; we are simply making the US model datasets available for those who are interested.