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Behavioral Modeling in Micro Simulation Models. A Survey


  • Klevmarken, N.A.


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 nonl ; inear 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 modles including behavioral responses. This paper surveys current theory and practice in micro-simulation with an emphasis on behavioral modleing, and discusses issues of model building, data availability, estimation, testing and validation.

Suggested Citation

  • Klevmarken, N.A., 1997. "Behavioral Modeling in Micro Simulation Models. A Survey," Papers 1997-31, Uppsala - Working Paper Series.
  • Handle: RePEc:fth:uppaal:1997-31

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    References listed on IDEAS

    1. Richard Blundell & Alan Duncan & Costas Meghir, 1998. "Estimating Labor Supply Responses Using Tax Reforms," Econometrica, Econometric Society, vol. 66(4), pages 827-862, July.
    2. Hausman, Jerry A & Newey, Whitney K, 1995. "Nonparametric Estimation of Exact Consumers Surplus and Deadweight Loss," Econometrica, Econometric Society, vol. 63(6), pages 1445-1476, November.
    3. Aronsson, Thomas & Palme, Marten, 1998. "A Decade of Tax and Benefit Reforms in Sweden: Effects on Labour Supply, Welfare and Inequality," Economica, London School of Economics and Political Science, vol. 65(257), pages 39-67, February.
    4. Blomquist, N. Soren, 1983. "The effect of income taxation on the labor supply of married men in Sweden," Journal of Public Economics, Elsevier, vol. 22(2), pages 169-197, November.
    5. N. S. Blomquist & U. Hansson-Brusewitz, 1990. "The Effect of Taxes on Male and Female Labor Supply in Sweden," Journal of Human Resources, University of Wisconsin Press, vol. 25(3), pages 317-357.
    6. Agell, Jonas & Englund, Peter & Sodersten, Jan, 1996. "Tax Reform of the Century -- the Swedish Experiment," National Tax Journal, National Tax Association, vol. 49(4), pages 643-664, December.
    7. Agell, S.A. & Meghir, C., 1995. "Male Labour Supply in Sweden : Are Incentives Important?," Papers 12, Uppsala - Working Paper Series.
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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.
    2. Tilmann Rave & Ursula Triebswetter, 2006. "Ökonomische Auswirkungen umweltpolitischer Regulierungen : eine Machbarkeitsstudie vor dem Hintergrund der Anforderungen der Richtlinie 96/61/EG über die integrierte Vermeidung und Verminderung von Um," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 30.
    3. Anne-Gisèle Privat, 2005. "L'avenir des retraites en France: Evalutation de l'impact des réformes de 1993 et de 2033 à l'aide du modèle de microsimulation Artémis," Sciences Po publications info:hdl:2441/f4rshpf3v1u, Sciences Po.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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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