Output from computer model e3mg detailing the depth of the recession and its length as a function of four exogenous parameters
1 
e3mg
is a matrix with 843 rows and 6 columns.
Four of the columns are exogenous variables (oil.price
,
direct.tax
, interest.rate
, and saving.ratio
)
and two are model outputs: rec_len
, the length (in years) of
the recession, and dep_rec
, the depth of the recession.
e3mg_LoF
is a list of functions suitable for use with
the e3mg
dataset
The data comprises 843 runs of the e3mg econometric model, used to predict the recession precipitated by the banking crisis.
The depth of the recession is defined as the maximum difference between predicted postcrash GDP and GDP immediately precrash.
The length of the recession is defined as the time in years required for GDP to return to precrash levels.
Data kindly provided by Cambridge Econometrics
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20  data(e3mg)
a < lm(rec_len~oil.price*direct.tax + direct.tax*saving.ratio + investment,data=data.frame(e3mg))
b < lm(rec_dep~oil.price*direct.tax + direct.tax*saving.ratio + investment,data=data.frame(e3mg))
plot(residuals(a),residuals(b)) # correlated!
# define an experiment object and find optimal prarams
e3mg_expt < apart(e3mg[1:20,],6:7)
opt < optimal_params(e3mg_expt, e3mg_LoF, option='c')
# now a point in parameter space:
center < get_mdm(e3mg_expt)[c(1,40),]
rownames(center) < c('center_dep','center_len')
xold(center) < 0
#now predict the behaviour at the center:
multem(center, e3mg_expt, hp=opt, e3mg_LoF, give = TRUE)

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