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SimPaths: an open-source microsimulation model for life course analysis

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Listed:
  • Richiardi, Matteo
  • Bronka, Patryk
  • van de Ven, Justin
  • Kopasker, Daniel
  • Vittal Katikireddi, Srinivasa

Abstract

SimPaths is a family of models for individual and household life course events, all sharing common components. The framework is designed to project life histories through time, building up a detailed picture of career paths, family (inter)relations, health, and financial circumstances. It builds upon standardised assumptions and data sources, which facilitates adaptation to alternative countries – versions currently exist for the UK and Italy, and are under development for Hungary, Poland and Greece. Careful attention is paid to model validation, and sensitivity of projections to key assumptions. The modular nature of the SimPaths framework is designed to facilitate analysis of alternative assumptions concerning the tax and benefit system, sensitivity to parameter estimates and alternative approaches for projecting labour/leisure and consumption/savings decisions. Projections for a workhorse model parameterised to the UK context are reported, which closely reflect observed data throughout a validation window between the Financial crisis (2011) and the Covid-19 pandemic (2019).

Suggested Citation

  • 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.
    • Handle: RePEc:ese:cempwp:cempa6-23
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    Cited by:

    1. Kopasker, Daniel & Bronka, Patryk & Thomson, Rachel M. & Khodygo, Vladimir & Kromydas, Theocharis & Meier, Petra & Heppenstall, Alison & Bambra, Clare & Lomax, Nik & Craig, Peter & Richiardi, Matteo &, 2024. "Evaluating the influence of taxation and social security policies on psychological distress: A microsimulation study of the UK during the COVID-19 economic crisis," Social Science & Medicine, Elsevier, vol. 351(C).

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