1. Introduction 
1.1 Documentation 
1.1 Documentation 
The complete documentation for the nonUS part of the MC2 model,
which is called
the ROW model, is in Appendix B and the Chapter 6 tables
at the end of this workbook and at the end of
Macroeconometric Modeling.
The version of the US model that is part of the MC2 model, which is presented in Macroeconometric Modeling, is the same as the version used for the November 3, 1998, forecast (BASE983). The complete documentation for the US model that is part of the MC2 model is contained in Appendix A and the Chapter 5 tables at the end of this workbook and at the end of Macroeconometric Modeling. The EMU began January 1, 1999, and this date is beyond any of the estimation periods. None of the estimation is thus affected by the EMU. For forecasting purposes, however, the EMU must be taken into account, and the way in which this was done is discussed in Section 1.8 below. Until this section, the following discussion pertains to the model prior to the EMU regime. 
1.2 Notation for the ROW Model 
The notation for the variables in the ROW model is presented in Tables B.1 and B.2 in Appendix B. Two letters denote the country (CA for Canada, JA for Japan, etc.), and the abbreviations are given in Table B.1. Up to five letters denote the variable (C for consumption, I for investment, etc.), and the names are given in Table B.2 in alphabetical order. The complete name of a variable for a country consists of the country abbreviation plus the variable name, such as CAC for Canadian consumption, JAI for Japanese investment, etc. The two letters EU denote the European countries in the model that are part of the EMU. These are: AU, FR, GE, IT, NE, FI, BE, IR, PO, SP. (Luxembourg, which is also part of the EMU, is not in the model.) 
1.3 Solution Options 
There are five choices you can make regarding the solution of the MC2
model.

1.4 The Complete MC2 Model and How It is Solved 
The size of the MC2 model is as follows. The US model, which is part
of the MC2
model, includes 30 stochastic equations plus one more when it is imbedded
in the MC2 model.
(This additional equation is discussed below.) There are 39 countries in
the ROW model and
up to 15 stochastic equations per country. If each country had all 15
equations, there
would be a total of 585 (39 x 15) stochastic equations in the ROW model.
Because of data
limitations, however, not all countries have all equations, and there are
in fact 332
stochastic equations in the ROW model. Given the 31 stochastic equations
in the US model,
there are thus 363 stochastic equations in the MC2 model. There are a
total of 1650
coefficients in these equations, counting the autoregressive coefficients
of the error
terms. In addition, as discussed in Section 6.16 in
Macroeconometric Modeling,
there are 1050 estimated trade share equations. Not counting the trade
share coefficient
estimates, all the coefficient estimates for the US model are presented
in the Chapter 5
tables, and all the coefficient estimates for the ROW model are presented
in the Chapter 6
tables.
Table B.1 shows that there are in the ROW model 20 variables per country determined by identities (identities I10 and I11 are no longer used), 5 variables per country determined when the countries are linked together, and 20 exogenous variables per country. Counting these variables, various transformations of the variables that are needed for the estimation, and the US variables (but not the trade shares), there are about 4500 variables in the MC2 model. The way in which the US model is imbedded in the MC2 model is explained in Table B.5. The two key variables that are exogenous in the US model but become endogenous in the overall MC2 model are exports, EX, and the price of imports, PIM. EX depends on X90$_{US}, which is determined in Table B.4. PIM depends on PM_{US}, which depends on PMP_{US}, which is also determined in Table B.4. Feeding into Table B.4 from the US model are PX_{US} and
M90$A_{US}.
PX_{US} is determined is the same way that PX is determined for
the other
countries, namely by equation 11 in Table B.3. In the US case
logPX_{US}  logPW$_{US}
is regressed on logGDPD  logPW$_{US}. The equation is: M90$A_{US}, which, as just noted, feeds into Table B.4, depends on M_{US}, which depends on IM. This is shown in Table B.5. IM is determined by equation 27 in the US model. Equation 27 is thus the key equation that determines the U.S. import value that feeds into Table B.4. The main exogenous variables in the overall MC2 model are the government spending variables (G). In other words, fiscal policy is exogenous. Monetary policy is not exogenous because of the use of the interest rate and exchange rate reaction functions. The solution of the MC2 model can now be considered. Because some of the countries are annual, the overall MC2 model is solved a year at a time. A solution period must begin in the first quarter of the year. In the following discussion, assume that year 1 is the first year to be solved. The overall MC2 model is solved as follows:
This completes the discussion of the solution of the model. In the above notation LIMITA is k_{1} and LIMITB is k_{2}. I have found that going beyond k_{1}=2 and k_{2}=10 leads to very little change in the final solution values, and so these are the default values. 
1.5 Solution Errors 
If you ask to solve the MC2 model and the model does not solve, you
will get an
error message to that effect. When this happens your dataset will not
have been changed.
You will need to make less extreme changes and try again. The model has
not been solved
when there is an abnormal abort, which usually means that the program has
tried to take
the log of a negative number. Because the MC2 model (unlike the US model) is not iterated until convergence (because k_{1} and k_{2} are fixed, it may be the case that the program finishes normally (no abnormal abort) but that the model did not really solve. If you are concerned about this, there is one check that you can perform, which is to increase LIMITA and LIMITB. If the model has correctly solved, it should be the case the increasing LIMITA and LIMITB has a very small effect on the solution values. You can thus increase LIMITA and LIMITB and see if the output values change much. If they do not, then you can have considerable confidence that the model has been solved correctly. The maximum values of LIMITA and LIMITB that you are allowed are 12 and 21, respectively. 
1.6 Changing Stochastic Equations 
There are four changes you can make to any of the 363 stochastic
equations:

1.7 Creating Base Datasets 
If you ask the program to solve the MC2 model for any period
beginning 1999 or
later and you make no changes to the coefficients and exogenous
variables, the
solution values for the endogenous variables will simply be the values
that are already in
MC2BASE. If, on the other hand, you ask the program to solve the model
for a period
beginning earlier than 1999, where at least some actual data exist, the
solution values
will not be the same as the values in MC2BASE because the model does not
predict perfectly
(the solution values of the endogenous variables are not in general equal
to the actual
values). It is thus very important to realize that the only time the
solution values will
be the same as the values in MC2BASE when you make no changes to the
exogenous variables
and coefficients is when you are solving beginning 1999 or later.
If you want to work with the MC2 model for a period for which actual data exist, you should read Section 2.6 of The US Model Workbook carefully. The same considerations apply to the MC2 model as apply to the US model. In other words, Section 2.6 is as relevant for the MC2 model as it is for the US model. This discussion will not be repeated here. The only new thing to note is that whenever you are making comparisons, you must treat the trade share equations the same for all runseither use the trade share equations for all the relelvant solutions or take the trade shares to be exogenous for all of them. An alternative to doing what Section 2.6 discusses should be done when working with a period for which actual data exist is to use the historical errors. When using the historical errors, the base prediction path is just the path of the actual values, and so any changes made are off of the actual path. 
1.8 Treatment of the EMU Regime 
As noted above, there are 10 countries in the model that are part of the
EMU: AU, FR, GE, IT, NE, FI, BE, IR, PO, and SP.
These 10 countries together will be denoted EU.
Each of these countries
has an estimated interest rate reaction function (equation 7), and each
country except FI and SP has an estimated long term interest rate equation
(equation 8). In addition, GE has an estimated exchange rate equation
where the exchange rate explained is the DM/$ rate, and each of the other
countries has an estimated exchange rate equation where the
exchange rate explained is the local currency/DM rate (equation 9).
For the EMU regime, which begins in 1999:1, the interest rate reaction functions of the 10 countries except GE were dropped from the model. For GE the coefficient estimates of the interest rate reaction function were retained but the right hand side GE variables were replaced with the respective EU variables. This equation is interpreted as the interest rate reaction function of the European Central Bank (ECB). What this means is that the ECB is assumed to have the same policy rule as the Bundesbank did except that the rule reacts to the overall EU variables and not just to the GE variables. Let GERSOLD be the interest rate determined by equation 7 for GE prior to the EMU regime, and let GERSEMU be the interest rate determined by the ECB equation just mentioned. In the coding of the model the German interest rate (GERS) is taken to be (1  EMU)*GERSOLD + EMU*GERSEMU, where EMU is a dummy variable that takes on a value of 1 from 1999.1 on and 0 otherwise. This treatment allows the estimated equations for both GERSOLD and GERSEMU to be included in the coding of the model. Let ITRSOLD be the (short term) i nterest rate determined by equation 7 for IT prior to the EMU regime, and let ITRSEMU be the short term IT rate in the EMU regime. ITRSEMU is taken to be GERSEMU + (ITRSOLD_{1998:4}  GERSOLD_{1998:4}). In other words, the Italian short term interest rate in the EMU regime is taken to be the rate determined by the ECB equation (which is GERSEMU) plus the difference in 1998:4 between the Italian rate and the German rate. The same procedure was followed for the other 8 countries. The differences used are: 0.00 for AU, 0.00 for FR, 1.49 for IT, 0.18 for NE, 0.23 for FI, 0.08 for BE, 3.37 for IR, 1.93 for PO, and 2.11 for SP. In future revisions of the model these differences will probably disappear, but for present purposes they were retained. The coding of the model is the same for these countries as it is for Germany. For example, the short term IT interest rate (ITRS) is taken to be (1  EMU)*ITRSOLD + EMU*ITRSEMU. A similar procedure was followed for the long term interest rate as for the short term rate. For the EMU regime, the long term interest rate equations (equation 8) of the 8 countries except GE that have such equations were dropped from the model. The equation for GE was retained as is. Let ITRBOLD be the interest rate determined by equation 8 for IT prior to the EMU regime, and let ITRBEMU be the long term IT rate in the EMU regime. ITRBEMU is taken to be GERB + (ITRBOLD_{1998:4}  GERB_{1998:4}). In other words, the Italian long term interest rate in the EMU regime is taken to be the rate determined by the German equation (which is GERB) plus the difference in 1998:4 between the Italian rate and the German rate. The same procedure was followed for the other 6 countries. The differences used are: 0.33 for AU, 0.30 for FR, 0.87 for IT, 0.84 for NE, 1.30 for BE, 2.22 for IR, and 1.21 for PO. Again, in future revisions of the model these differences will probably disappear, but for present purposes they were retained. The coding of the model is the same for the long term rate as it is for the short term rate. For example, the long term IT interest rate (ITRB) is taken to be (1  EMU)*ITRBOLD + EMU*ITRBEMU. Finally, a similar procedure was followed for the exchange rate as for the short term interest rate. For the EMU regime, the exchange rate equations for the 10 countries except GE were dropped from the model. For GE the coefficient estimates of the exchange rate equation were retained but the right hand side GE variables were replaced with the respective EU variables. This equation is interpreted as the exchange rate equation for the euro. What this means is that the euro is assumed to be determined in the same way that the DM was determined except that the explanatory variables are overall EU variables and not just GE variables. Let GEEOLD be the exchange rate determined by equation 9 for GE prior to the EMU regime, and let GEEEMU be the interest rate determined by the euro equation just mentioned. In the coding of the model the German exchange rate (GEE) is taken to be (1  EMU)*GEEOLD + EMU*GEEEMU. Let ITHOLD be the exchange rate determined by equation 9 for IT prior to the EMU regime, and let ITHEMU be the IT exchange rate in the EMU regime. ITHEMU is taken to be ITHOLD_{1998:4}. In other words, the Italian exchange rate (relative to the DM) in the EMU regime is taken to be the rate that existed in 1998:4. The same procedure was followed for the other 8 countries. The 1998:4 rates used are: 7.03 for AU, 3.351 for FR, 985.5 for IT, 1.127 for NE, 3040.9 for FI, 20.63 for BE, 380.4 for IR, 101.1 for PO, and 84.43 for SP. The coding of the model is the same for the exchange rate as it is for the interest rates. For example, the IT exchange rate (ITH) is taken to be (1  EMU)*ITHOLD + EMU*ITHEMU. The EU variables that are used in the model from 1999:1 on are:
EUY is real output of EU, EUYS is potential real output, EUYY is nominal output, EUS is the current account, EUPY is the output price deflator, and EUZZ is the output gap. The remaining variables are variables used in the EU interest rate and exchange rate equations, which are disucssed next. Note that EUY and EUYS are in units of 1990 DM and that EUYY is in units of current DM. The variable FRE90/GEE90 is the Franc/DM rate in 1990 and the variable FRH is the Franc/DM nominal rate (and similarly for the other countries). The EU interest rate reaction function is
The EU exchange rate equation is
The software allows you to change the EU interest rate and exchange rate equations. The "country" that you will click is EU. Remember that these equations are only relevant from 1999:1 on. Also remember that the equations that have been dropped for the 9 countries from 1999:1 on are not part of the model from 1999:1 on. They only matter prior to this period. 