Abstract
Based on recently developed techniques for improving the estimates of life expectancy and extending the mortality data to old-age, we provide the first ever analysis of demographic implications of the pension reform in Russia in both the cross-sectional and cohort perspectives. Our analysis indicates a strong need to rebalance the pension system but also its acute negative consequences to Russian cohorts. Men are particularly vulnerable to the reform because of their low survival and shorter lifespan. Our study suggests that the reform must be supplemented by extraordinary policies aiming at mitigating the negative consequences of the reform. Comparison of the Russian case with the benchmark case of Sweden illustrates economic benefits of population ageing driven by lifespan extension.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Note that we have harmonized the source datasets to the main collection that came from the Human Mortality Database and excludes the population of the Crimean peninsula (ca. 2 millions).
References
Andreev, E., Darsky, L. E., & Kharkova, T. L. (1998). Demographic history of Russia: 1927–1959 (in russian). Moscow: Informatika.
Brouard, N. (1986). Structure et dynamique des populations. La pyramide des années à vivre, aspects nationaux et exemples régionaux. Espace, Populations, Sociétés, 4(2), 157–168. https://doi.org/10.3406/espos.1986.1120.
Center for Demographic Research (Moscow/Russia). (2018). Russian fertility and mortality database. Available at: http://demogr.nes.ru/index.php/ru/demogr_indicat/data. Accessed 2 Aug 2018.
Ediev, D. M. (2001). Application of the demographic potential concept to understanding the Russian population history and prospects: 1897–2100. Demographic Research, 4(9), 289–336. https://doi.org/10.4054/DemRes.2001.4.9.
Ediev, D. M. (2014). Why increasing longevity may favour a PAYG pension system over a funded system. Population Studies, 68(1), 95–110. Available at: http://www.ncbi.nlm.nih.gov/pubmed/23587003.
Ediev, D. M. (2017). Constrained mortality extrapolation to old age: An empirical assessment. European Journal of Population, 34, 441–457. https://doi.org/10.1007/s10680-017-9434-4.
Ediev, D. M. (2018). Expectation of life at old age: Revisiting Horiuchi-Coale and reconciling with Mitra. Genus, 74(1), 3. https://doi.org/10.1186/s41118-018-0029-7.
Ediev, D. M., Coleman, D., & Scherbov, S. (2013). New measures of population reproduction for an era of high migration. Population, Space and Place.
Ediev, D. M., Sanderson, W. C., & Scherbov, S. (2018). The inverse relationship between life expectancy-induced changes in the old-age dependency ratio and the prospective old-age dependency ratio. Theoretical Population Biology, 125, 1–10.
Government Offices of Sweden. (2018). Sweden’s national reform programme 2018. Stockholm. Available at: https://www.government.se/49bfaf/contentassets/8c870068125e4941aadadf4dad740b4e/swedens-national-reform-programme-2018.pdf. Accessed 11 Aug 2018.
Guillot, M. (2003). The cross-sectional average length of life (CAL): A cross-sectional mortality measure that reflects the experience of cohorts. Population Studies, 57(1), 41–54.
Keyfitz, N. (1971). On the momentum of population growth. Demography, 8(1), 71. https://doi.org/10.2307/2060339. Springer Population Association of America.
Keyfitz, N., & Caswell, H. (2005). Applied mathematical demography. Berlin: Springer.
Mitra, S. (1984). Estimating the expectation of life at older ages. Population Studies, 38(2), 313–319. https://doi.org/10.2307/2174079.
OECD. (2018). OECD database. Available at: https://stats.oecd.org/. Accessed 3 Aug 2018.
RANEPA, Rosstat and IIASA. (2016). Russian demographic data sheet 2016. Moscow, Russia; Laxenburg, Austria.
Rosstat. (2018). Rosstat. Available at: http://www.gks.ru/. Accessed 14 Aug 2018.
Ryder, N. B. (1951). Cohort Approach. PhD thesis.
Sanderson, W. C., & Scherbov, S. (2015). Faster increases in human life expectancy could lead to slower population aging. PLoS One, 10(4), e0121922. https://doi.org/10.1371/journal.pone.0121922.
Settergren, O., & Mikula, B. D. (2005). The rate of return of pay-as-you-go pension systems: A more exact consumption-loan model of interest. Journal of Pension Economics and Finance, 4(2), 115–138. https://doi.org/10.1017/S1474747205002064.
Statistics Sweden. (2018). Statistics Sweden. Available at: http://www.scb.se/en/. Accessed 9 Aug 2018.
Thatcher, A. R., Kannisto, V., & Vaupel, J. W. (1998). The force of mortality at Ages 80–120. Monographs on population aging. Odense: Odense University Press. Available at: http://www.demogr.mpg.de/Papers/Books/Monograph5/ForMort.htm.
UN DESA/Population Division. (2017a). World population prospects: Model life tables. Available at: https://esa.un.org/unpd/wpp/Download/Other/MLT/. Accessed 20 Aug 2017.
UN DESA/Population Division. (2017b). World population prospects 2017. Available at: https://esa.un.org/unpd/wpp/. Accessed 4 July 2017.
University of California, B. and the Max Planck Institute for Demographic Research (Rostock). (2019). Human mortality database. Online database sponsored by University of California, Berkeley (USA), and Max Planck Institute for Demographic Research (Germany). Available at: www.mortality.org. Accessed 15 May 2018.
Acknowledgments
The research leading to these results has received funding from the Russian Foundation for Basic Research Grants 18-01-00289 “Mathematical models and methods of correcting the distortions of the age structure and mortality rates of elderly population” and 18-010-01169 “Demographic changes and economic growth”. The author is grateful to participants of the seminar at the Vienna Institute of Demography for useful feedback.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Ediev, D.M. (2020). Demographics of the Russian Pension Reform. In: Skiadas, C.H., Skiadas, C. (eds) Demography of Population Health, Aging and Health Expenditures. The Springer Series on Demographic Methods and Population Analysis, vol 50. Springer, Cham. https://doi.org/10.1007/978-3-030-44695-6_9
Download citation
DOI: https://doi.org/10.1007/978-3-030-44695-6_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-44694-9
Online ISBN: 978-3-030-44695-6
eBook Packages: HistoryHistory (R0)