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The introduction of a social gradient in mortality in the Destinie 2 model

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Listed:
  • A. CAZENAVE-LACROUTZ

    (Insee)

  • F. GODET

    (Insee)

  • V. LIN

    (Insee)

Abstract

We use here the mortality tables by education level recently published by Blanpain (2016b) to significantly improve the projected differential mortality in the Destinie 2 model that was usually only based on Insee mortality projections broken down by age and sex categories. We show that the relational proportionality method better predicts the evolution of differential mortality over the recent past than the Brass relationality method, used in other microsimulation models. The introduction of heterogeneous mortality according to education level aims at better reproducing the positive correlation that exists beteen life expectancy and pension levels. To quantify it, we compare the elasticities of survival to the amount of the retirement pension, by sex and age, obtained by microsimulation with those estimated on the Échantillon Interrégimes de Retraités (EIR). The simulated elasticities are lower than the empirical elasticities, especially for women. For men, however, they are statistically significant and at least two-thirds of the empirically observed values. At the aggregate level, this introduction also slightly increases projected pension expenditure.

Suggested Citation

  • A. Cazenave-Lacroutz & F. Godet & V. Lin, 2018. "The introduction of a social gradient in mortality in the Destinie 2 model," Documents de Travail de l'Insee - INSEE Working Papers g2018-12, Institut National de la Statistique et des Etudes Economiques.
  • Handle: RePEc:nse:doctra:g2018-12
    as

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    File URL: https://www.bnsp.insee.fr/ark:/12148/bc6p06zrgjd/f1.pdf
    File Function: Document de travail de la DESE numéro G2018/12
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Microsimulation; differential mortality; pension;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • 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

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