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COMPAS: Un modèle de microsimulation santé pour le Québec

Author

Listed:
  • David Boisclair
  • Aurélie Côté-Sergent
  • Jean-Yves Duclos
  • Alexandre Lekina
  • Steeve Marchand
  • Pierre-Carl Michaud

Abstract

Nous présentons dans ce document la conception et la structure de compas, un modèle de microsimulation dynamique portant sur l’état et l’utilisation de soins de santé des Québécois. Ce modèle comporte deux dimensions importantes : un composante dynamique, qui permet une évolution de l’état de santé des individus simulés tout au long de leur cycle de vie, et une composante transversale, qui associe l’utilisation de ressources médicales en lien avec l’état de santé des individus simulés. Le modèle utilise la population de 2010 comme point de départ, et plusieurs sources de données pour modéliser les dimensions de l’état de santé et la mortalité ainsi que les diverses transitions entre les états. Il permet en outre d’analyser une seule cohorte à la fois, ou encore l’ensemble de la population telle qu’elle évolue au fil du temps avec ses nouveaux entrants. Nous présentons quelques résultats de simulations préliminaires réalisées avec compas, notamment en matière d’état de santé et d’espérance de vie.

Suggested Citation

  • David Boisclair & Aurélie Côté-Sergent & Jean-Yves Duclos & Alexandre Lekina & Steeve Marchand & Pierre-Carl Michaud, 2015. "COMPAS: Un modèle de microsimulation santé pour le Québec," CIRANO Working Papers 2015s-03, CIRANO.
  • Handle: RePEc:cir:cirwor:2015s-03
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    File URL: https://cirano.qc.ca/files/publications/2015s-03.pdf
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    Cited by:

    1. 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).
    2. Giordana, Gastón A. & Pi Alperin, María Noel, 2023. "Old age takes its toll: Long-run projections of health-related public expenditure in Luxembourg," Economics & Human Biology, Elsevier, vol. 50(C).

    More about this item

    Keywords

    ; microsimulation; santé; espérance de vie; Québec;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts

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