Courrier des statistiques N5 - 2020

Issue N5 could not ignore the specific nature of 2020: it therefore begins with an article by the Director-General of INSEE on the adaptation of the institute and its methods to the exceptional context of the health crisis. The Courrier then looks at the structuring issues of governance, through the French Official Statistics Authority, which takes stock of its ten years of existence, and the recent experience of the Official Statistics Quality Label Committee.

How to produce data useful for public decision-making? With a highly flexible cartographic representation, gridding makes it possible to better grasp the reality of territories. With an adapted communication, the indicators of added value of high schools meet the need for evaluation and internal steering, as well as the expectations of citizens and the media. With a dynamic microsimulation model on pensions, Prisme supports the legislator who wants to change the regulations.

Finally, the last article raises a simple question: what is data? Exploiting this material is the core business of the statistician, but does he really measure all its dimensions?

Courrier des statistiques
Paru le :Paru le15/09/2022
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Bryan Bellanger and Samuel Goujon, Study Managers, CNAV
Courrier des statistiques- September 2022
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PRISME From the General Scheme to the Universal Scheme, Microsimulation as a Decision-Making Tool

Bryan Bellanger and Samuel Goujon, Study Managers, CNAV

French pension system is based on numerous schemes: this complexity results from its historical singularity. Frequent reforms and decrees generate many changes in the pension system, which has a strong impact on statistical production. In this context, CNAV – entity that manages France’s leading pension scheme – developed a dynamic microsimulation model called PRISME in the early 2000s.

Contrary to other models, PRISME is characterized by its insertion within a pension scheme, making it a main tool for operational uses. Thus it’s carrying a double objective: management and prospective. Moreover, PRISME benefits from rich and unique sources of data since it is based on the Social Security management databases.

The model consists of different modules built as close as possible to the life paths of the insured: demography, career, retirement. PRISME is technically complex, being able to simulate both short-term and long-term scenarios (horizon 2070). But its is also very flexible, which allows it to adapt continuously to changes in the legal framework, as shown by the recent integration of the self-employed workers scheme in the model.

Paru le :15/09/2022

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