This paper compares the use of two different methodologies for merging data from different sources in developing or extending a microsimulation model. The first uses a relatively simple means-based methodology, and the second uses regression. The advantages and disadvantages of each are discussed and their ability to accurately retain the information in the original data sources is tested through their application in the development of a model of child care services and subsidies.
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.