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Synthetic populations: review of the different approaches

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  • BARTHELEMY Johan
  • CORNELIS Eric
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    Abstract

    Microsimulations may involve a large number of agents. It is then practically impossible or too expensive to obtain a fully and complete disaggregated data set about these agents of interest. Moreover, if such a dataset was available, its use would be potentially problematic in view of stringent privacy laws. To address this problem one may build an articial population starting from known aggregate data. Most of the known generation methods are explained in this paper. Their advantages and limitations are discussed and references are given for further details.

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    Bibliographic Info

    Paper provided by CEPS/INSTEAD in its series CEPS/INSTEAD Working Paper Series with number 2012-18.

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    Length: 12 pages
    Date of creation: Apr 2012
    Date of revision:
    Handle: RePEc:irs:cepswp:2012-18

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    Related research

    Keywords: transport simulation; micro simulation; iterative proportional fitting procedures; optimization;

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    1. Harding, Ann & Lloyd, Rachel & Bill, Anthea & King, Anthony, 2004. "Assessing Poverty and Inequality at a Detailed Regional Level: New Advances in Spatial Microsimulation," Working Paper Series UNU-WIDER Research Paper , World Institute for Development Economic Research (UNU-WIDER).
    2. Beckman, Richard J. & Baggerly, Keith A. & McKay, Michael D., 1996. "Creating synthetic baseline populations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(6), pages 415-429, November.
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