ioanalysis (version 0.3.4)

agg.region: Aggregate Regions

Description

agg.sector takes specified regions and creates a "new" joint region. This produces a new InputOutput object. Note the Leontief Inverse and Ghoshian Inverse are elements. All regions must have exactly the same sectors. See locate.mismatch.

Caution: Inverting large matrices will take a long time. R does a computation roughly every 8e-10 second. The number of computations per matrix inversion is n^3 where n is the dimension of the square matrix. For n = 5000 it should take 100 seconds.

Usage

agg.region(io, regions, newname = "newname")

Arguments

io

An InputOutput class object from as.inputoutput

regions

Character. Specific regions to be aggregated. Can either be a character that exactly matches the name of the region in RS_label or the number of the region in the order it appears in RS_label. May also be 'all' to select all regions.

newname

Character. The name to give to the new aggregated region.

Value

A new InputOutput object is created. See as.inputoutput.

Details

Creates an aggregation matrix similar to that of agg.sector. See Blair and Miller 2009 for more details.

References

Blair, P.D. and Miller, R.E. (2009). "Input-Output Analysis: Foundations and Extensions". Cambridge University Press

Nazara, Suahasil & Guo, Dong & Hewings, Geoffrey J.D., & Dridi, Chokri, 2003. "PyIO. Input-Output Analysis with Python". REAL Discussion Paper 03-t-23. University of Illinois at Urbana-Champaign. (http://www.real.illinois.edu/d-paper/03/03-t-23.pdf)

See Also

as.inputoutput, locate.mismatch, agg.region

Examples

# NOT RUN {
data(toy.IO)
class(toy.IO)
agg.region(toy.IO, regions = c(1,2), newname = "Magic")

# }