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The evaluation of health policies through microsimulation methods

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  • Zucchelli, E
  • Jones, A.M
  • Rice, N

Abstract

This paper presents an overview of microsimulation as a method to evaluate health and health care policies and interventions. After presenting a brief survey of microsimulation models and applications we describe the main features of the approach and how these are implemented in practice. We pay particular attention to the innovative features of dynamic microsimulation as a method of ex-ante policy evaluation. The final section describes two leading microsimulation models, POHEM and FEM used to simulate lifecycle health trajectories and associated health care costs under competing policy scenarios to illustrate the power of microsimulation as a valid and relevant tool for policy evaluation.

Suggested Citation

  • Zucchelli, E & Jones, A.M & Rice, N, 2010. "The evaluation of health policies through microsimulation methods," Health, Econometrics and Data Group (HEDG) Working Papers 10/03, HEDG, c/o Department of Economics, University of York.
    • Handle: RePEc:yor:hectdg:10/03
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    3. Rick Glaubitz & Astrid Harnack-Eber & Miriam Wetter, 2022. "The Gender Gap in Lifetime Earnings: The Role of Parenthood," Discussion Papers of DIW Berlin 2001, DIW Berlin, German Institute for Economic Research.
    4. Astolfi, Roberto & Lorenzoni, Luca & Oderkirk, Jillian, 2012. "Informing policy makers about future health spending: A comparative analysis of forecasting methods in OECD countries," Health Policy, Elsevier, vol. 107(1), pages 1-10.
    5. GENEVOIS Anne-Sophie & LIEGEOIS Philippe & PI ALPERIN Maria Noel, 2019. "DyMH_LU: a simple tool for modelling and simulating the health status of the Luxembourgish elderly in the longer run," LISER Working Paper Series 2019-06, Luxembourg Institute of Socio-Economic Research (LISER).
    6. Eline M. Krijkamp & Fernando Alarid-Escudero & Eva A. Enns & Hawre J. Jalal & M. G. Myriam Hunink & Petros Pechlivanoglou, 2018. "Microsimulation Modeling for Health Decision Sciences Using R: A Tutorial," Medical Decision Making, , vol. 38(3), pages 400-422, April.
    7. Mohana Mondal & Michael P. Cameron & Jacques Poot, 2021. "Towards a dynamic spatial microsimulation model for projecting Auckland's spatial distribution of ethnic groups," Working Papers in Economics 21/12, University of Waikato.
    8. 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).
    9. Laurie Brown, 2011. "Editorial - Special Issue on Health," International Journal of Microsimulation, International Microsimulation Association, vol. 4(3), pages 1-2.
    10. William, Jananie & Loong, Bronwyn & Hanna, Dana & Parkinson, Bonny & Loxton, Deborah, 2022. "Lifetime health costs of intimate partner violence: A prospective longitudinal cohort study with linked data for out-of-hospital and pharmaceutical costs," Economic Modelling, Elsevier, vol. 116(C).

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    More about this item

    Keywords

    Microsimulation methods; policy evaluation; health; public health interventions;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • I10 - Health, Education, and Welfare - - Health - - - General
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts

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