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A typical workflow begins with using the Leontief decomposition in
the decompr
package.
# load the decompr package
library(decompr)
## Please consider citing R and decompr,
## using citation()
## citation('decompr')
We will use the example data set.
# load the example data set
data(leather)
attach(leather)
and apply the leontief decomposition and post multiply with exports
<- decomp(x = inter,
l y = final,
k = countries,
i = industries,
o = out,
method = "leontief",
post = "exports" )
We can now analyse the l
object with the
gvc package.
library(gvc)
## Please consider citing R and gvc,
## citation()
## citation('gvc')
For instance, using the New Revealed Comparative
Advantage (nrca()
),
nrca(l)
## [1] 1.2676927 1.0581114 0.1533582 1.0087530 1.3176076 0.3068102 0.8635848
## [8] 0.7080925 1.9843574
or using Importing to Export
(i2e()
),
i2e(l)
## country sector i2e
## 1 Argentina Agriculture 3.404712
## 2 Argentina Textile_and_Leather 6.443233
## 3 Argentina Transport_Equipment 0.762098
## 4 Turkey Agriculture 7.467932
## 5 Turkey Textile_and_Leather 11.125843
## 6 Turkey Transport_Equipment 2.544472
## 7 Germany Agriculture 5.632133
## 8 Germany Textile_and_Leather 5.280111
## 9 Germany Transport_Equipment 25.397173
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.