The Inequality of Lifetime Pensions

Jiaxin Shi, Martin Kolk

Tutkimustuotos: LehtiartikkeliArtikkeliTieteellinenvertaisarvioitu

4 Lataukset (Pure)

Abstrakti

At older ages, most people are supported by pension systems that provide payments based on prior contributions. An important, but neglected, aspect of inequality in how much people receive in pensions is the number of years they live to receive their pension. We examine inequality in lifetime-accumulated pensions and show the importance of mortality for understanding inequalities in pension payments, and contrast it to inequalities in working-age earnings and yearly pension payments among older adults. In contrast to most previous research on old-age inequality comparing different social groups, we focused on total-population-level inequality. Using Swedish register data covering the retired population born from 1918-1939, we found that lifetime pensions are much more unequal than pre-retirement earnings and yearly pensions. Our findings also show that mortality explains more than 50 percent of the inequality of lifetime pensions within cohorts, and plays an important role in explaining changes in inequality across cohorts (192 percent among men and 44 percent among women). Pension policies can affect lifetime pension inequality, but such effects are limited in magnitude unless they directly affect the number of years of receiving pensions.

AlkuperäiskieliEnglanti
Sivut667-693
JulkaisuSociological Science
Vuosikerta10
Numero24
DOI - pysyväislinkit
TilaJulkaistu - 2023
OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

Rahoitus

We thank Jenn Dowd, Christian Dudel, John Ermisch, Martin Hälisten, Robert Hummer, Guanghui Pan, Fabian Pfeffer, Yifan Shen, Joshua Wilde, Alyson van Raalte, and participants at the Oxford Sociology Monday Meeting for their helpful feedback on previous drafts. Jiaxin Shi was supported by the European Research Council (grant no. 716323) and a Leverhulme Trust Grant (Grant RC-2018-003) for the Leverhulme Centre for Demographic Science at the University of Oxford. Jiaxin Shi gratefully acknowledges the resources provided by the International Max Planck Research School for Population, Health and Data Science (IMPRS-PHDS). Martin Kolk was supported by the Swedish Research Council (grant no. 2019-02552 and 2022-02314) and the Swedish Research Council for Health, Working Life and Welfare (FORTE, grant no. 2016-07115).

RahoittajatRahoittajan numero
IMPRS-PHDS
Leverhulme TrustRC-2018-003
European Research Council716323
Swedish Research Council2022-02314, 2019-02552
Swedish Research Council for Health Working Life and Welfare2016-07115

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