Dynamic Microsimulation Models Using to Analyze Retirement Systems Reforms: An Essay of Synthesis
AbstractDynamic microsimulation models applied to economics were first introduced in the United States at the end of the 1960’s. Since the 1980’s, they have been rapidly developing due to the increase in computational capabilities and to the availability of longitudinal data. Dynamic microsimulation provides a tool for analysing nonlinear pension systems by simulating individual trajectories of heterogeneous economic agents. Hence, this method highly improves the understanding of pension reforms, the evaluation of pensioners’ rights and intra- as well as inter-generational redistributions. Moreover, it takes into account methods and results from other kinds of analyses, such as behavioural micro-econometrics. This article sets out a synthesis of the achievements of dynamic microsimulation studies of pension systems. The first section draws up a typology of useful methods in the field of pension systems studies. In the second section, a technical assessment of the method is carried out. Various sources of errors in the calculation of individual trajectories and in the determination of aggregated results are examined. Two simple numerical examples illustrate some properties of stochastic simulations. Our analysis recommends better knowledge of the statistical properties of dynamic microsimulation. It favours setting up databases which directly answer the needs of dynamic microsimulation. Finally, the third section reviews an extensive range of dynamic microsimulation models from across OECD countries, and sums up the achievements of the French INSEE model, DESTINIE.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Observatoire Francais des Conjonctures Economiques (OFCE) in its series Documents de Travail de l'OFCE with number 2003-10.
Date of creation: 2003
Date of revision:
Dynamic Microsimulation; long run prospective studies; unfunded retirement systems modelling;
Find related papers by JEL classification:
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions
- J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
- J26 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Retirement; Retirement Policies
This paper has been announced in the following NEP Reports:
- NEP-ALL-2004-02-01 (All new papers)
- NEP-CMP-2004-02-01 (Computational Economics)
- NEP-PBE-2004-02-01 (Public Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Barro, Robert J, 1974.
"Are Government Bonds Net Wealth?,"
Journal of Political Economy,
University of Chicago Press, vol. 82(6), pages 1095-1117, Nov.-Dec..
- Didier Blanchet & Jean-Marie Chanut, 1998. "Les retraites individuelles à long terme : une projection par microsimulation," Économie et Statistique, Programme National Persée, vol. 315(1), pages 95-106.
- Bourguignon, Francois, 1981. "Pareto Superiority of Unegalitarian Equilibria in Stiglitz' Model of Wealth Distribution with Convex Saving Function," Econometrica, Econometric Society, vol. 49(6), pages 1469-75, November.
- Antoine Bommier & Thierry Magnac & Muriel Roger, 2001. "Départs en retraite : évolutions récentes et modèles économiques," Revue Française d'Économie, Programme National Persée, vol. 16(1), pages 79-124.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Francesco Saraceno).
If references are entirely missing, you can add them using this form.