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A methodological survey of dynamic microsimulation models

Author

Listed:
  • Li, Jinjing

    (UNU-MERIT/MGSoG, Maastricht University)

  • O'Donoghue, Cathal

    (Teagasc, NUI, Ireland)

Abstract

More than 10 years ago O'Donoghue (2001) surveyed the dynamic microsimulation models that had been developed up to that point. However the 2000's have seen many of the barriers that existed for model development up until that point overcome. This paper surveys the development and practices in dynamic microsimulation over the past decade, and discusses the methodological challenges today. The paper 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.

Suggested Citation

  • Li, Jinjing & O'Donoghue, Cathal, 2012. "A methodological survey of dynamic microsimulation models," MERIT Working Papers 2012-002, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    • Handle: RePEc:unm:unumer:2012002
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    File URL: https://unu-merit.nl/publications/wppdf/2012/wp2012-002.pdf
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    References listed on IDEAS

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    2. Mideros A. & Gassmann F. & Mohnen P., 2013. "Estimation of rates of return of social protection instruments. Making the case for non-contributory social transfers in Cambodia," MERIT Working Papers 2013-063, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    3. Alessandra Caretta & Sara Flisi & Cecilia Frale & Michele Raitano & Simone Tedeschi, 2013. "T-DYMM : the treasury dynamic microsimulation model of the Italian pension system," Working Papers 11, Department of the Treasury, Ministry of the Economy and of Finance.
    4. Franziska Gassmann & Cecile Cherrier & Andrés Mideros Mora & Pierre Mohnen, 2013. "Making the Investment Case for Social Protection: Methodological challenges with lessons learnt from a recent study in Cambodia," Papers inwopa694, Innocenti Working Papers.

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    More about this item

    Keywords

    Dynamic Microsimulation; Survey;

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General

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