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JAMSIM: a Microsimulation Modelling Policy Tool

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Abstract

JAMSIM (JAva MicroSIMulation) is an innovative synthesis of open source packages that provides an environment and set of features for the creation of dynamic discrete-time microsimulation models that are to be executed, manipulated and interrogated by non-technical, policy-oriented users. Combining the leading open source statistical package R and one of the foremost agent-based modelling (ABM) graphical tools Ascape, JAMSIM is available as an open source tool, for public reuse and modification. Here we describe microsimulation, our functional requirements, a review of tools used by other micro-simulators and an evaluation of existing software, followed by the architecture, features and use of JAMSIM.

Suggested Citation

  • Oliver Mannion & Roy Lay-Yee & Wendy Wrapson & Peter Davis & Janet Pearson, 2012. "JAMSIM: a Microsimulation Modelling Policy Tool," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(1), pages 1-8.
  • Handle: RePEc:jas:jasssj:2011-26-2
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    File URL: http://jasss.soc.surrey.ac.uk/15/1/8/8.pdf
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    1. Roberto Leombruni & Matteo Richiardi, 2006. "LABORsim: An Agent-Based Microsimulation of Labour Supply – An Application to Italy," Computational Economics, Springer;Society for Computational Economics, vol. 27(1), pages 63-88, February.
    2. Cathal O'Donoghue & John Lennon & Stephen Hynes, 2009. "The Life-Cycle Income Analysis Model (LIAM): a study of a flexible dynamic microsimulation modelling computing framework," International Journal of Microsimulation, International Microsimulation Association, vol. 2(1), pages 16-31.
    3. Sutherland, Holly & Immervoll, Herwig & O'Donoghue, Cathal, 1999. "An introduction to EUROMOD," EUROMOD Working Papers EM0/99, EUROMOD at the Institute for Social and Economic Research.
    4. Laurie Brown & Ann Harding, 2002. "Social Modelling and Public Policy: Application of Microsimulation Modelling in Australia," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(4), pages 1-6.
    5. Sutherland, Holly & Figari, Francesco & Lelkes, Orsolya & Levy, Horacio & Lietz, Christine & Mantovani, Daniela & Paulus, Alari, 2008. "Improving the capacity and usability of EUROMOD: final report," EUROMOD Working Papers EM4/08, EUROMOD at the Institute for Social and Economic Research.
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    1. repec:ijm:journl:v10:y:2017:i:2:p:118-143 is not listed on IDEAS
    2. repec:ijm:journl:v10:y:2017:i:1:p:106-134 is not listed on IDEAS
    3. Joachim Merz & Lars Rusch, 2015. "MICSIM-4j - A General Microsimulation Model User Guide (Version 1.1)," FFB-Discussionpaper 100, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    4. Matteo Richiardi & Ross E. Richardson, 2017. "JAS-mine: A new platform for microsimulation and agent-based modelling," International Journal of Microsimulation, International Microsimulation Association, vol. 10(1), pages 106-134.
    5. Lay-Yee, Roy & Milne, Barry & Davis, Peter & Pearson, Janet & McLay, Jessica, 2015. "Determinants and disparities: A simulation approach to the case of child health care," Social Science & Medicine, Elsevier, vol. 128(C), pages 202-211.
    6. repec:ijm:journl:v109:y:2017:i:1:p:106-134 is not listed on IDEAS

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