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Behavioral Modeling in Micro Simulation Models. A Survey

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  • N. Anders Klevmarken

Abstract

Micro-simulation is an approach to analyze the impact of economic and social policy on the distribution of target variables, not just on the means. It easily includes the true policy instruments and handles highly nonlinear relations. Most models currently used in policy analysis are static and they do not include behavioral response to policy changes, just their first order effects. There is, however, an increasing demand for dynamic models including behavioral responses. This paper surveys current theory and practice in micro-simulation with an emphasis on behavioral modeling, and discusses issues of model building, data availability, estimation, testing and validation.

Suggested Citation

  • N. Anders Klevmarken, 1997. "Behavioral Modeling in Micro Simulation Models. A Survey," Working Paper Series 1997:31, Uppsala University, Department of Economics.
    • Handle: RePEc:hhs:uunewp:1997_031
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    Cited by:

    1. Terance J. Rephann & Kalle Mäkilä & Einar Holm, 2005. "Microsimulation for Local Impact Analysis: an Application to Plant Shutdown," Journal of Regional Science, Wiley Blackwell, vol. 45(1), pages 183-222, February.
    2. Tilmann Rave & Ursula Triebswetter, 2006. "Economic impacts of environmental regulations," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 30.
    3. repec:spo:wpmain:info:hdl:2441/f4rshpf3v1umfa09lat214kj4 is not listed on IDEAS
    4. repec:hal:spmain:info:hdl:2441/f4rshpf3v1umfa09lat214kj4 is not listed on IDEAS
    5. Vaqar Ahmed & Cathal O'Donoghue, 2009. "Redistributive Effect of Personal Income Taxation in Pakistan," Working Papers 0143, National University of Ireland Galway, Department of Economics, revised 2009.
    6. Martin Spielauer & René Houle, 2004. "Sample size and statistical significance of hazard regression parameters. An exploration by means of Monte Carlo simulation of four transition models based on Hungarian GGS data," MPIDR Working Papers WP-2004-020, Max Planck Institute for Demographic Research, Rostock, Germany.
    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. Terance J. Rephann & Einar Holm, 2004. "Economic-Demographic Effects of Immigration: Results from a Dynamic Spatial Microsimulation Model," International Regional Science Review, , vol. 27(4), pages 379-410, October.
    9. Nicolas Hérault, 2009. "Les apports de la micro-simulation aux modèles d’équilibre général : application au cas de l’Afrique du Sud," Économie et Prévision, Programme National Persée, vol. 187(1), pages 123-135.
    10. Eugenio Zucchelli & Andrew M Jones & Nigel Rice, 2012. "The evaluation of health policies through dynamic microsimulation methods," International Journal of Microsimulation, International Microsimulation Association, vol. 5(1), pages 2-20.
    11. Vincent Touzé & Cyrille Hagneré & Gaël Dupont, 2003. "Les modèles de microsimulation dynamique dans l’analyse des réformes des systèmes de retraites : une tentative de bilan," Économie et Prévision, Programme National Persée, vol. 160(4), pages 167-191.
    12. Anders Klevmarken, 2022. "Statistical Inference in Micro-simulation Models: Incorporating External Information," International Journal of Microsimulation, International Microsimulation Association, vol. 15(1), pages 111-120.
    13. Zucchelli, E & Jones, A.M & Rice, N, 2010. "The evaluation of health policies through microsimulation methods," Health, Econometrics and Data Group (HEDG) Working Papers 10/03, HEDG, c/o Department of Economics, University of York.
    14. Anna Klabunde & Frans Willekens, 2016. "Decision-Making in Agent-Based Models of Migration: State of the Art and Challenges," European Journal of Population, Springer;European Association for Population Studies, vol. 32(1), pages 73-97, February.
    15. 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.
    16. Tony Lawson, 2016. "How the Ageing Population Contributes to UK Economic Activity: A Microsimulation Analysis," Scottish Journal of Political Economy, Scottish Economic Society, vol. 63(5), pages 497-518, November.
    17. repec:hal:wpspec:info:hdl:2441/f4rshpf3v1umfa09lat214kj4 is not listed on IDEAS
    18. Martin Spielauer, 2004. "Intergenerational Educational Transmission within Families: An Analysis and Microsimulation Projection for Austria," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 2(1), pages 253-282.
    19. repec:spo:wpecon:info:hdl:2441/f4rshpf3v1umfa09lat214kj4 is not listed on IDEAS

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    JEL classification:

    • C0 - Mathematical and Quantitative Methods - - General

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