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A survey of dynamic microsimulation models: uses, model structure and methodology

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  • Jinjing Li

    ()
    (Maastricht University / UNU-MERIT, Keizer Karelplein 19, Maastricht, the Netherlands)

  • Cathal O'Donoghue

    ()
    (Rural Economy and Development Programme, Teagasc, Teagasc Rural Economy Research Centre, Athenry, Co. Galway, Ireland;)

Abstract

More than 10 years ago O’Donoghue (2001a) surveyed the dynamic microsimulation models that had been developed up to that point. However many of the barriers mentioned have been gradually overcome in the last decade . This paper surveys the development and practices in dynamic microsimulation over the past decade, and discusses the methodological challenges today. It provides an overview of the methodological choices made in more than 60 known dynamic microsimulation models and examines the advantages and disadvantages of different practices. In addition, this paper reviews the main progress made in the field and explores how future microsimulation models could evolve potentially.

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File URL: http://www.microsimulation.org/ijm/v6_2/_IJM_i6_2_Li_ODonoghue.pdf
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Bibliographic Info

Article provided by Interational Microsimulation Association in its journal International Journal of Microsimulation.

Volume (Year): 6 (2013)
Issue (Month): 2 ()
Pages: 3-55

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Handle: RePEc:ijm:journl:v:6:y:2013:i:2:p:3-55

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Web page: http://ima.natsem.canberra.edu.au/index.htm

Related research

Keywords: Dynamic microsimulation; survey; Literature review;

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References

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Cited by:
  1. Courtioux, Pierre & Gregoir, Stéphane & Houeto, Dede, 2014. "Modelling the distribution of returns on higher education: A microsimulation approach," Economic Modelling, Elsevier, Elsevier, vol. 38(C), pages 328-340.

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