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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.

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Bibliographic Info

Paper provided by Uppsala University, Department of Economics in its series Working Paper Series with number 1997:31.

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Length: 53 pp.
Date of creation: 1997
Date of revision:
Handle: RePEc:hhs:uunewp:1997_031

Contact details of provider:
Postal: Department of Economics, Uppsala University, P. O. Box 513, SE-751 20 Uppsala, Sweden
Phone: + 46 18 471 25 00
Fax: + 46 18 471 14 78
Email:
Web page: http://www.nek.uu.se/
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Cited by:
  1. Privat, Anne-Gisèle, 2005. "avenir des retraites en France: Evalutation de l'impact des réformes de 1993 et de 2033 à l'aide du modèle de microsimulation Artémis. The future of retirement pensions in France - Analysis of the," Open Access publications from Sciences Po info:hdl:2441/f4rshpf3v1u, Sciences Po.
  2. Ahmed, Vaqar & O'Donoghue, Cathal, 2009. "Redistributive effect of personal income taxation in Pakistan," MPRA Paper 16700, University Library of Munich, Germany.
  3. 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.
  4. 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.
  5. 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.

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