A Comparison of data merging methodologies for extending a microsimulation model

Deborah Schofield, Josh Polette

Research output: Book/ReportOther report

Abstract

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.
Original languageEnglish
Place of PublicationCanberra
PublisherUniversity of Canberra
Number of pages54
ISBN (Print)0858895722
Publication statusPublished - Sep 1998
Externally publishedYes

Publication series

NameTechnical paper (University of Canberra. National Centre for Social and Economic Modelling)
PublisherUniversity of Canberra
No.11
ISSN (Print)1320-210X

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Keywords

  • data
  • merging
  • methodology
  • Microsimulation
  • Modelling

Cite this

Schofield, D., & Polette, J. (1998). A Comparison of data merging methodologies for extending a microsimulation model. (Technical paper (University of Canberra. National Centre for Social and Economic Modelling); No. 11). Canberra: University of Canberra.