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The Life-Cycle Income Analysis Model (LIAM): a study of a flexible dynamic microsimulation modelling computing framework

Author

Listed:
  • Cathal O'Donoghue

    (Rural Economy Research Centre (RERC), Teagasc, Ireland)

  • John Lennon

    (Rural Economy Research Centre (RERC), Teagasc, Ireland)

  • Stephen Hynes

    (Rural Economy Research Centre (RERC), Teagasc, Ireland)

Abstract

This paper describes a flexible computing framework designed to create a dynamic microsimulation model, the Life-cycle Income Analysis Model (LIAM). The principle computing characteristics include the degree of modularisation, parameterisation, generalisation and robustness. The paper describes the decisions taken with regard to type of dynamic model used. The LIAM framework has been used to create a number of different microsimulation models, including an Irish dynamic cohort model, a spatial dynamic microsimulation model for Ireland, an indirect tax and consumption model for EU15 as part of EUROMOD and a prototype EU dynamic population microsimulation model for 5 EU countries. Particular consideration is given to issues of parameterisation, alignment and computational efficiency.

Suggested Citation

  • 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.
    • Handle: RePEc:ijm:journl:v:2:y:2009:i:1:p:16-31
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    File URL: http://ima.natsem.canberra.edu.au/IJM/V2_1/IJM_2_1_2.pdf
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    References listed on IDEAS

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    1. O'Donoghue, Cathal & Mantovani, Daniela & Baldini, Massimo, 2004. "Modelling the redistributive impact of indirect taxes in Europe: an application of EUROMOD," EUROMOD Working Papers EM7/01, EUROMOD at the Institute for Social and Economic Research.
    2. Mitton,Lavinia & Sutherland,Holly & Weeks,Melvyn (ed.), 2000. "Microsimulation Modelling for Policy Analysis," Cambridge Books, Cambridge University Press, number 9780521790062, November.
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    Cited by:

    1. Islam, Nizamul & Flood, Lennart, 2015. "A Tax Benefit Model for Policy Evaluation in Luxembourg: LuxTaxBen," IZA Discussion Papers 9152, Institute of Labor Economics (IZA).
    2. Robert Tanton, 2014. "A Review of Spatial Microsimulation Methods," International Journal of Microsimulation, International Microsimulation Association, vol. 7(1), pages 4-25.
    3. Lyndon Walker & Peter Davis, 2013. "Modelling "Marriage Markets": A Population-Scale Implementation and Parameter Test," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 16(1), pages 1-6.
    4. Jan Pablo Burgard & Joscha Krause & Simon Schmaus, 2019. "Estimation of Regional Transition Probabilities for Spatial Dynamic Microsimulations from Survey Data Lacking in Regional Detail," Research Papers in Economics 2019-12, University of Trier, Department of Economics.
    5. O'Donoghue, Cathal & Sologon, Denisa Maria, 2023. "The Transformation of Public Policy Analysis in Times of Crisis – A Microsimulation-Nowcasting Method Using Big Data," IZA Discussion Papers 15937, Institute of Labor Economics (IZA).
    6. Darragh Flannery & Cathal O’Donoghue, 2011. "The Life-cycle Impact of Alternative Higher Education Finance Systems in Ireland," The Economic and Social Review, Economic and Social Studies, vol. 42(3), pages 237-270.
    7. 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).
    8. Denisa Sologon, 2014. "Book review: New Pathways to Microsimulation," International Journal of Microsimulation, International Microsimulation Association, vol. 7(3), pages 80-86.
    9. Li, Jinjing & O'Donoghue, Cathal, 2011. "Incentives of Retirement Transition for Elderly Workers: An Analysis of Actual and Simulated Replacement Rates in Ireland," IZA Discussion Papers 5865, Institute of Labor Economics (IZA).
    10. Jinjing Li & Cathal O'Donoghue, 2013. "A survey of dynamic microsimulation models: uses, model structure and methodology," International Journal of Microsimulation, International Microsimulation Association, vol. 6(2), pages 3-55.
    11. Greet De Vil & Gijs Dekkers & Raphael Desmet, 2010. "Working Paper 10-10 - The long-term adequacy of the Belgian public pension system: An analysis based on the MIDAS model," Working Papers 1010, Federal Planning Bureau, Belgium.
    12. Hänisch, Carsten & Klos, Jonas, 2016. "Long-run effects of career interruptions: A micro-simulation study," Discussion Paper Series 2016-03, University of Freiburg, Wilfried Guth Endowed Chair for Constitutional Political Economy and Competition Policy.
    13. David Rossiter & Dimitris Ballas & Graham Clarke & Danny Dorling, 2009. "Dynamic spatial microsimulation using the concept of GHOSTs," International Journal of Microsimulation, International Microsimulation Association, vol. 2(2), pages 15-26.
    14. Dekkers, Gijs & Desmet, Raphaël, 2011. "Taking two to tango: the joint prospective assessment of pension sustainability and adequacy in Belgium," MPRA Paper 36138, University Library of Munich, Germany.
    15. 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.

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