Hi,
Does anybody know if there have been any studies/research done comparing
the performance of Grade Correspondence Analysis (Sutherland et al, 2002)
with other techniques such as Combinatorial Optimisation [eg using the
simulated annealing algorithm] - (Voas & Williamson 2000)?
...or the use of calibration (of variables across datasets) and development
of "cluster" subsets.. as the " order of decreasing distance" [ODD]
matching algorithm [as used in PENSIM2]?
Or any further assessment / attempts at validation of GCA/ODD as
microsimulation techniques ? (other than the ref below).
Thanks,
Sue Easton
PhD student
Human Geography
University of Sheffield
[log in to unmask]
Sutherland H, Taylor R, Gomulka J, 2002, "Combining Household Income and
Expenditure Data in Policy Simulations " The Review of Income and Wealth 48
517-536
Voas D, Williamson P, 2000, "An evaluation of the combinatorial
optimisation approach to the creation of synthetic microdata "
International Journal Of Population Geography 6 349-366
{Sutherland, 2002 #88}
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