IDEAS home Printed from https://ideas.repec.org/a/ijm/journl/v6y2013i2p3-55.html
   My bibliography  Save this article

A survey of dynamic microsimulation models: uses, model structure and methodology

Author

Listed:
  • Jinjing Li

    () (Maastricht University / UNU-MERIT, Keizer Karelplein 19, Maastricht, the Netherlands)

  • Cathal O'Donoghue

    () (Rural Economy and Development Programme, Teagasc, Teagasc Rural Economy Research Centre, Athenry, Co. Galway, Ireland;)

Abstract

More than 10 years ago ODonoghue (2001a) surveyed the dynamic microsimulation models that had been developed up to that point. However many of the barriers mentioned have been gradually overcome in the last decade . This paper surveys the development and practices in dynamic microsimulation over the past decade, and discusses the methodological challenges today. It provides an overview of the methodological choices made in more than 60 known dynamic microsimulation models and examines the advantages and disadvantages of different practices. In addition, this paper reviews the main progress made in the field and explores how future microsimulation models could evolve potentially.

Suggested Citation

  • 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.
  • Handle: RePEc:ijm:journl:v:6:y:2013:i:2:p:3-55
    as

    Download full text from publisher

    File URL: http://www.microsimulation.org/ijm/v6_2/_IJM_i6_2_Li_ODonoghue.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Eliasson, Gunnar, 1977. "Competition and Market Processes in a Simulation Model of the Swedish Economy," American Economic Review, American Economic Association, vol. 67(1), pages 277-281, February.
    2. Eliasson, Gunnar, 1991. "Modeling the experimentally organized economy : Complex dynamics in an empirical micro-macro model of endogenous economic growth," Journal of Economic Behavior & Organization, Elsevier, vol. 16(1-2), pages 153-182, July.
    3. Goldman Dana P & Cutler David M & Shang Baoping & Joyce Geoffrey F, 2006. "The Value of Elderly Disease Prevention," Forum for Health Economics & Policy, De Gruyter, vol. 9(2), pages 1-29, January.
    4. 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.
    5. Pierre Courtioux & Stéphane Gregoir & Dede Houeto, 2009. "The Simulation of the Educational Output over the Life Course: The GAMEO Model," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00391393, HAL.
    6. 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.
    7. Anne-Sophie Robilliard & Sherman Robinson, 2003. "Reconciling Household Surveys and National Accounts Data Using a Cross Entropy Estimation Method," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 49(3), pages 395-406, September.
    8. Nelissen, Jan H. M., 1998. "Annual versus lifetime income redistribution by social security," Journal of Public Economics, Elsevier, vol. 68(2), pages 223-249, May.
    9. Peichl, Andreas & Schneider, Hilmar & Siegloch, Sebastian, 2010. "Documentation IZA?MOD: The IZA Policy SImulation MODel," IZA Discussion Papers 4865, Institute for the Study of Labor (IZA).
    10. Anders Klevmarken, N., 2002. "Statistical inference in micro-simulation models: incorporating external information," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 59(1), pages 255-265.
    11. Keister,Lisa A., 2000. "Wealth in America," Cambridge Books, Cambridge University Press, number 9780521627511, October.
    12. Keister,Lisa A., 2000. "Wealth in America," Cambridge Books, Cambridge University Press, number 9780521621687, October.
    13. Creedy, John & van de Ven, Justin, 2001. "Decomposing Redistributive Effects of Taxes and Transfers in Australia: Annual and Lifetime Measures," Australian Economic Papers, Wiley Blackwell, vol. 40(2), pages 185-198, June.
    14. Massimo Baldini, 2001. "Inequality and Redistribution over the Life-Cycle in Italy: an Analysis with a Dynamic Cohort Microsimulation Model," Brazilian Electronic Journal of Economics, Department of Economics, Universidade Federal de Pernambuco, vol. 4(2), December.
    15. Ahmed, Vaqar & O' Donoghue, Cathal, 2007. "CGE-Microsimulation Modelling: A Survey," MPRA Paper 9307, University Library of Munich, Germany.
    16. Thomas Sauerbier, 2002. "UMDBS - a New Tool for Dynamic Microsimulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(2), pages 1-5.
    17. Gijs Dekkers, 2015. "The simulation properties of microsimulation models with static and dynamic ageing a brief guide into choosing one type of model over the other," International Journal of Microsimulation, International Microsimulation Association, vol. 8(1), pages 97-109.
    18. Klevmarken, N.A., 1997. "Behavioral Modeling in Micro Simulation Models. A Survey," Papers 1997-31, Uppsala - Working Paper Series.
    19. Carlo Mazzaferro & Marcello Morciano, 2008. "CAPP_DYN: A Dynamic Microsimulation Model for the Italian Social Security System," Department of Economics 0595, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    20. Rebecca Cassells & Ann Harding & Simon Kelly, 2006. "Problems and Prospects for Dynamic Microsimulation: A review and lessons for APPSIM," NATSEM Working Paper Series 63, University of Canberra, National Centre for Social and Economic Modelling.
    21. Jinjing Li & Cathal O'Donoghue, 2012. "Simulating Histories within Dynamic Microsimulation Models," International Journal of Microsimulation, International Microsimulation Association, vol. 5(1), pages 52-76.
    22. Albert Ando & Sergio Nicoletti-Altimari, 2004. "A micro simulation model of demographic development and households' economic behavior in Italy," Temi di discussione (Economic working papers) 533, Bank of Italy, Economic Research and International Relations Area.
    23. Luc Savard, 2003. "Poverty and Income Distribution in a CGE-Household Micro-Simulation Model: Top-Down/Bottom Up Approach," Cahiers de recherche 0343, CIRPEE.
    24. Albert Ando & Andrea Moro, 1995. "Demographic Dynamics, Labor Force Participation and Household Asset Accumulation: Case of Japan," NBER Working Papers 5261, National Bureau of Economic Research, Inc.
    25. Joachim, Merz & Henning, Stolz & Markus, Zwick, 2002. "Professions, entrepreneurs, employees and the new German tax (cut) reform 2000 - A MICSIM microsimulation analysis of distributional impacts," MPRA Paper 6345, University Library of Munich, Germany.
    26. John Creedy & Alan S. Duncan & Mark Harris & Rosanna Scutella, 2002. "Microsimulation Modelling of Taxation and the Labour Market," Books, Edward Elgar Publishing, number 2796.
    27. Dekkers, Gijs, 2010. "On the impact of indexation and demographic ageing on inequality among pensioners," MPRA Paper 36136, University Library of Munich, Germany.
    28. Riccardo Boero & Flaminio Squazzoni, 2005. "Does Empirical Embeddedness Matter? Methodological Issues on Agent-Based Models for Analytical Social Science," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(4), pages 1-6.
    29. repec:aph:ajpbhl:10.2105/ajph.2009.172627_3 is not listed on IDEAS
    30. Dekkers, G.J.M. & Nelissen, J.H.M. & Verbon, H.A.A., 1993. "The macro model programme sector of the microsimulation model NEDYMAS," WORC Paper 93.08.016/2, Tilburg University, Work and Organization Research Centre.
    31. Pudney, Stephen & Sutherland, Holly, 1994. "How reliable are microsimulation results? : An analysis of the role of sampling error in a U.K. tax-benefit model," Journal of Public Economics, Elsevier, vol. 53(3), pages 327-365, March.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Dynamic microsimulation; survey; Literature review;

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ijm:journl:v:6:y:2013:i:2:p:3-55. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jinjing Li). General contact details of provider: http://www.microsimulation.org/ijm/ .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.