Department of Economics and Business Economics

Longevity forecasting by socio-economic groups using compositional data analysis

Research output: Working paperResearch

Standard

Longevity forecasting by socio-economic groups using compositional data analysis. / Kjærgaard, Søren; Ergemen, Yunus Emre; Boucher, Marie-Pier Bergeron; Oeppen, Jim; Kallestrup-Lamb, Malene.

Aarhus : Institut for Økonomi, Aarhus Universitet, 2019.

Research output: Working paperResearch

Harvard

Kjærgaard, S, Ergemen, YE, Boucher, M-PB, Oeppen, J & Kallestrup-Lamb, M 2019 'Longevity forecasting by socio-economic groups using compositional data analysis' Institut for Økonomi, Aarhus Universitet, Aarhus.

APA

Kjærgaard, S., Ergemen, Y. E., Boucher, M-P. B., Oeppen, J., & Kallestrup-Lamb, M. (2019). Longevity forecasting by socio-economic groups using compositional data analysis. Institut for Økonomi, Aarhus Universitet. CREATES Research Papers No. 2019-08

CBE

Kjærgaard S, Ergemen YE, Boucher M-PB, Oeppen J, Kallestrup-Lamb M. 2019. Longevity forecasting by socio-economic groups using compositional data analysis. Aarhus: Institut for Økonomi, Aarhus Universitet.

MLA

Kjærgaard, Søren et al. Longevity forecasting by socio-economic groups using compositional data analysis. Aarhus: Institut for Økonomi, Aarhus Universitet. (CREATES Research Papers; Journal number 2019-08). 2019., 30 p.

Vancouver

Kjærgaard S, Ergemen YE, Boucher M-PB, Oeppen J, Kallestrup-Lamb M. Longevity forecasting by socio-economic groups using compositional data analysis. Aarhus: Institut for Økonomi, Aarhus Universitet. 2019 May 13.

Author

Kjærgaard, Søren ; Ergemen, Yunus Emre ; Boucher, Marie-Pier Bergeron ; Oeppen, Jim ; Kallestrup-Lamb, Malene. / Longevity forecasting by socio-economic groups using compositional data analysis. Aarhus : Institut for Økonomi, Aarhus Universitet, 2019. (CREATES Research Papers; No. 2019-08).

Bibtex

@techreport{98037a3096ba4883b805cc4ab07775cc,
title = "Longevity forecasting by socio-economic groups using compositional data analysis",
abstract = "Several OECD countries have recently implemented an automatic link between the statutory retirement age and life expectancy for the total population to insure sustainability in their pension systems when life expectancy is increasing. Significant mortality differentials are observed across socio-economic groups and future changes in these differentials will determine whether some socio-economic groups drive increases in the retirement age leaving other groups with fewer years in receipt of pensions. We forecast life expectancy by socio-economic groups and compare the forecast performance of competing models using Danish mortality data and find that the most accurate model assumes a common mortality trend. Life expectancy forecasts are used to analyse the consequences of a pension system where the statutory retirement age is increased when total life expectancy is increasing",
keywords = "Compositional data, forecasting, longevity, pension, socioeconomic groups",
author = "S{\o}ren Kj{\ae}rgaard and Ergemen, {Yunus Emre} and Boucher, {Marie-Pier Bergeron} and Jim Oeppen and Malene Kallestrup-Lamb",
year = "2019",
month = may,
day = "13",
language = "English",
series = "CREATES Research Papers",
publisher = "Institut for {\O}konomi, Aarhus Universitet",
number = "2019-08",
type = "WorkingPaper",
institution = "Institut for {\O}konomi, Aarhus Universitet",

}

RIS

TY - UNPB

T1 - Longevity forecasting by socio-economic groups using compositional data analysis

AU - Kjærgaard, Søren

AU - Ergemen, Yunus Emre

AU - Boucher, Marie-Pier Bergeron

AU - Oeppen, Jim

AU - Kallestrup-Lamb, Malene

PY - 2019/5/13

Y1 - 2019/5/13

N2 - Several OECD countries have recently implemented an automatic link between the statutory retirement age and life expectancy for the total population to insure sustainability in their pension systems when life expectancy is increasing. Significant mortality differentials are observed across socio-economic groups and future changes in these differentials will determine whether some socio-economic groups drive increases in the retirement age leaving other groups with fewer years in receipt of pensions. We forecast life expectancy by socio-economic groups and compare the forecast performance of competing models using Danish mortality data and find that the most accurate model assumes a common mortality trend. Life expectancy forecasts are used to analyse the consequences of a pension system where the statutory retirement age is increased when total life expectancy is increasing

AB - Several OECD countries have recently implemented an automatic link between the statutory retirement age and life expectancy for the total population to insure sustainability in their pension systems when life expectancy is increasing. Significant mortality differentials are observed across socio-economic groups and future changes in these differentials will determine whether some socio-economic groups drive increases in the retirement age leaving other groups with fewer years in receipt of pensions. We forecast life expectancy by socio-economic groups and compare the forecast performance of competing models using Danish mortality data and find that the most accurate model assumes a common mortality trend. Life expectancy forecasts are used to analyse the consequences of a pension system where the statutory retirement age is increased when total life expectancy is increasing

KW - Compositional data, forecasting, longevity, pension, socioeconomic groups

M3 - Working paper

T3 - CREATES Research Papers

BT - Longevity forecasting by socio-economic groups using compositional data analysis

PB - Institut for Økonomi, Aarhus Universitet

CY - Aarhus

ER -