The 2021 ageing report : underlying assumptions & projection methodologies

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<title>2021 ageing report</title>
<subTitle>: underlying assumptions & projection methodologies</subTitle>
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<namePart>Comisión Europea</namePart>
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<publisher>European Commission</publisher>
<dateIssued>2020</dateIssued>
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<abstract displayLabel="Summary">2021 Ageing Report: mandate and general principles -- Main results: the economic impact of population ageing -- Underlying assumptions and projection methodologies: Population; Labour force projections ; Labour productivity and potential GDP; Interest rates; Sensitivity tests and alternative scenarios -- Age-related expenditure items: coverage, projection methodologies and data sources : Pensions; Healthcare; Long-term care ; Education; Annexes: A1. Projecting labour force developments using the cohort simulation model (CSM) ; A2. Estimation of the average exit age from the labour market ; A3. Methodology underpinning potential GDP growth projections: A3.1. Description of the production function framework ; A3.2. Potential GDP projections for the first ten years ('t+10' projections)  -- A4. Pension projection reporting sheet ; A5. Overview of pension systems in the Member States ; A6. Coverage and specification of pension schemes ; A7. Long-term care model structure ; A8. Sources of data to compute healthcare and long-term care ;  A8.1. Data sources healthcare; A8.2. Data sources long-term care ; A9. Mathematical illustration of the healthcare scenarios; A10. Mathematical illustration of the long-term care scenarios;  A11. Organisational structure of secondary education; A12. Sources of data for education expenditure ; A13. Estimating the education enrolment rate --  Statistical Annex </abstract>
<note type="statement of responsibility">European Commission, Directorate-General for Economic and Financial Affairs </note>
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<topic>Ageingnomics. Economia senior</topic>
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<topic>Evolución demográfica</topic>
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<topic>Envejecimiento de la población</topic>
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<topic>Personas mayores</topic>
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<topic>Proyecciones demográficas</topic>
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<title>Intitutional Paper</title>
<partNumber>nº 142, november 2020</partNumber>
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<identifier type="isbn">978-92-76-16331-2 </identifier>
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