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Increasing the Impact of Dynamic Microsimulation Modelling

Author

Listed:
  • Cathal O'Donoghue

    (National University of Ireland, Galway, Ireland)

  • Gijs Dekkers

    (Federal Planning Bureau, Kunstlaan 4749, B-1000 Brussel, Belgium.)

Abstract

This paper considers the degree of progress made by the field of dynamic microsimulation over the past five decades. It highlights the expanding breadth of the field, both in terms of the number of countries and in terms of the broadening policy area. It also outlines concerns in relation to lack of emphasis historically in relation to the transmission of codified and in the sometimes proprietary ownership model. Moving forward, an improved focus on the codification and peer review of methodologies used in the field is suggested. In terms of tacit knowledge transmission, the organisation of more regional meetings of the International Microsimulation Association is encouraged. In terms of future areas for model development, the opportunities are to incorporate behaviour to a greater extent, utilise more data in the big data revolution, to increase the field of microsimulation into new policy areas, and to share code and work in networks. Finally, the role of peer review is highlighted.

Suggested Citation

  • Cathal O'Donoghue & Gijs Dekkers, 2018. "Increasing the Impact of Dynamic Microsimulation Modelling," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 61-96.
  • Handle: RePEc:ijm:journl:v10:y:2018:i:1:p:61-96
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    File URL: http://microsimulation.org/IJM/V11_1/IJM_11_1_2.pdf
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    Cited by:

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    2. Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin & Kopasker, Daniel & Vittal Katikireddi, Srinivasa, 2023. "SimPaths: an open-source microsimulation model for life course analysis," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA6/23, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
    3. Burgard Jan Pablo & Dieckmann Hanna & Krause Joscha & Merkle Hariolf & Münnich Ralf & Neufang Kristina M. & Schmaus Simon, 2020. "A generic business process model for conducting microsimulation studies," Statistics in Transition New Series, Polish Statistical Association, vol. 21(4), pages 191-211, August.
    4. Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin, 2022. "Dynamic simulation of taxes and welfare benefits by database imputation," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA3/22, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
    5. Jan Pablo Burgard & Hanna Dieckmann & Joscha Krause & Hariolf Merkle & Ralf Münnich & Kristina M. Neufang & Simon Schmaus, 2020. "A generic business process model for conducting microsimulation studies," Statistics in Transition New Series, Polish Statistical Association, vol. 21(4), pages 191-211, August.
    6. Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin, 2023. "Back to the future: Agent-based modelling and dynamic microsimulation," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA8/23, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.

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    More about this item

    Keywords

    MICROSIMULATION MODELLING; KNOWLEDGE TRANSFER;

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions

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