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Behavioral Modeling in Micro Simulation Models. A Survey

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  • Klevmarken, N.A.

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 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.

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Bibliographic Info

Paper provided by Uppsala - Working Paper Series in its series Papers with number 1997-31.

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Length: 50 pages
Date of creation: 1997
Date of revision:
Handle: RePEc:fth:uppaal:1997-31

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Postal: UPPSALA UNIVERSITY, DEPARTMENT OF ECONOMICS, S-751 20 UPPSALA SWEDEN.
Phone: + 46 18 471 25 00
Fax: + 46 18 471 14 78
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Web page: http://www.nek.uu.se/
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Keywords: SIMULATION ; MODELS ; ECONOMIC POLICY;

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Cited by:
  1. repec:spo:wpecon:info:hdl:2441/f4rshpf3v1umfa09lat214kj4 is not listed on IDEAS
  2. Jinjing Li & Cathal O'Donoghue, 2013. "A survey of dynamic microsimulation models: uses, model structure and methodology," International Journal of Microsimulation, Interational Microsimulation Association, vol. 6(2), pages 3-55.
  3. 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.
  4. 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.
  5. Ahmed, Vaqar & O'Donoghue, Cathal, 2009. "Redistributive effect of personal income taxation in Pakistan," MPRA Paper 16700, University Library of Munich, Germany.
  6. Eugenio Zucchelli & Andrew M Jones & Nigel Rice, 2012. "The evaluation of health policies through dynamic microsimulation methods," International Journal of Microsimulation, Interational Microsimulation Association, vol. 5(1), pages 2-20.
  7. Gaël Dupont & Cyrille Hagneré & Vincent Touzé, 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.
  8. 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.
  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. 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.

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