Neal Bouffard () (DYNACAN Team) Richard Easther () (Strategic Forecating) Tom Johnson () (Strategic Forecasting) Richard J. Morrison () (DYNACAN Team) Jan Vink () (Strategic Forecasting)
Abstract
Effective marriage matching, i.e. forming specific couples from pools of potential marriage partners, is vital for the success of dynamic longitudinal microsimulation models. This paper identifies some problems with a deterministic algorithm previously used in CORSIM, and in its “child” models, e.g., DYNACAN and POLISIM, for matching prospective marriage partners. It describes an alternative, stochastic, algorithm that provides somewhat better results. A set of validation measures illustrates the extent of this improvement, and indicates something of the ample room remaining for additional improvement. The paper situates the choice of a matching algorithm within the broader arena of marriage markets, and identifies some other areas in which improvements are desirable.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Did you know? Each page is provided with a technical contact, in case something is not right with the supplied information. See under "publisher info".