The US Model in EViews 7: October 29, 2017
US Model Optimized for EViews: July 30, 2017, version of the US model

If you have EViews on your computer and want to work with the US model in EViews, there are now two ways to do this. First, you can do this by downloading the zipped file usev172.zip. You should download this file by clicking it, and then unzip it. One of the files in the zipped file is readme.txt, which is repeated below. This version is due to Matthew Cushing at the University of Nebraska-Lincoln. It takes advantage of many more of the features of EViews than does the other way (below) of downloading EViews.

readme.txt:

The included workfile is optimized to take advantage of a number of features of Eviews. 

1. It uses the native EVIEWS NA rather than the FP 999999 to represent a 
missing observation. This way, Eviews does not mistake 999999 has an actual
observation in graphs and estimation. Future values of the endogenous variables
 are represented by NAs. This automatically avoids the mistake of estimating equations over 
forecasted rather than actual data.  

2. It exploits EVIEWS's ability to recognize simple functions in 
regression commands. The variable LOG(CS/POP) is entered directly into 
equation 1, so there is no need to define LCSZ and then recover CS from the
forecasts of LCSZ. This greatly reduces the number of variables on the workfile
and the number equations in the model. Further, the equations are much easier to 
interpret, as they look very much like the equations reported in the FAIRMODEL appendix.

3. Coefficient restriction are made explicit in equations 16, 23 and 24, 
rather than imposing them by redefining variables. 

4. Variables have labels and equations have more understandable names. Clicking 
on the Details tab brings up the description of each variable.

5. Identities are labelled as such.  This is useful in making add factors and 
doing stochastic simulations. 

6. A version of the model, FME_RS_EXOG is provided for users who wish to make interest
rates exogenous.  

7. Add values for all stochastic equations are set to "equations have zero residuals at 
actuals."  This is equivalent to the "use historic errors option" on the FAIRMODEL website.

8. OLS equations (eqs 15 and 29) estimated with AR1 errors use Eviews 
option(arma=cls, optmethod=legacy).  These estimates closely match estimates 
using the FAIRPARK program. 

9. TSLS equations  estimated with AR1 errors use Eviews option (noexinst) 
so that Eviews does not include extra instruments. The estimates closely match estimates 
using the FAIRPARK program. 

10. The included SETUP.PRG file automatically converts the Eviews workfile provided
on the website, FM.WK1 to FME166.WK1.  Users only need to set the directory in which 
FM.WK1 is located. To update the installation, the %DEND variable (end of data) can 
be edited.  

end of readme.txt

US Model in EViews: No Optimization: October 29, 2017, version of the US Model

For this version the zipped file to download is: fmev.zip. You should download this file by clicking it, and then unzip it. The datasets in it are:

  1. FM.WF1---the complete workfile. Variables that end in _0 are solution values
  2. FMGENR.PRG---contains commands to generate variables (not needed; for reference purposes only)
  3. FMEQ.PRG---contains commands to estimate all the equations (not needed)
  4. FMA---contains the listing of the model for solution purposes (not needed)

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 2017:4--2022:4 period in the workfile, and the solution values end with _0. These solution values are the forecast values of the October 29, 2017, 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.

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.

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