Nothing Special   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/cdl/oplwec/qt37k785qq.html
   My bibliography  Save this paper

Notional Defined Contribution Pension Systems in a Stochastic Context: Design and Stability

Author

Listed:
  • Auerbach, Alan J.
  • Lee, Ronald D
Abstract
Around the world, Pay-As-You-Go (PAYGO) public pension programs face serious long-term fiscal problems due primarily to actual and projected population aging, and most appear unsustainable as currently structured. Some have proposed the replacement of such plans with systems of fully funded private or personal Defined Contribution (DC) accounts, but the difficulties of transition to funded systems have limited their implementation. Recently, a new variety of public pension program known as ìNotional Defined Contributionî or ìNon-financial Defined Contributionî (NDC) has been created, with the objectives of addressing the fiscal instability of traditional plans and mimicking the haracteristics of funded DC plans while retaining PAYGO finance. Using different versions of the system recently adopted in Sweden, calibrated to US demographic and economic parameters, we evaluate the success of the NDC approach in achieving fiscal stability in a stochastic context. (In a companion paper, we will consider other aspects of the performance of NDC plans in comparison to traditional PAYGO pensions.) We find that the basic NDC scheme is effective at preventing excessive debt accumulation, but does little to prevent significant asset accumulation along many trajectories and on average. With adjustment, however, the NDC approach can be made more stable.

Suggested Citation

  • Auerbach, Alan J. & Lee, Ronald D, 2007. "Notional Defined Contribution Pension Systems in a Stochastic Context: Design and Stability," Berkeley Olin Program in Law & Economics, Working Paper Series qt37k785qq, Berkeley Olin Program in Law & Economics.
    • Handle: RePEc:cdl:oplwec:qt37k785qq
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/37k785qq.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Ronald Lee & Shripad Tuljapurkar, 1998. "Stochastic Forecasts for Social Security," NBER Chapters, in: Frontiers in the Economics of Aging, pages 393-428, National Bureau of Economic Research, Inc.
    2. Ronald D. Lee & Michael W. Anderson & Shripad Tuljapurkar, 2003. "Stochastic Forecasts of the Social Security Trust Fund," Working Papers wp043, University of Michigan, Michigan Retirement Research Center.
    3. repec:dau:papers:123456789/6478 is not listed on IDEAS
    4. Palmer, Edward, 2000. "The Swedish pension reform model : framework and issues," Social Protection Discussion Papers and Notes 23086, The World Bank.
    5. Booth, Heather, 2006. "Demographic forecasting: 1980 to 2005 in review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 547-581.
    6. Lee, Ronald & Tuljapurkar, Shripad, 1998. "Uncertain Demographic Futures and Social Security Finances," American Economic Review, American Economic Association, vol. 88(2), pages 237-241, May.
    7. Lee, Ronald D., 1993. "Modeling and forecasting the time series of US fertility: Age distribution, range, and ultimate level," International Journal of Forecasting, Elsevier, vol. 9(2), pages 187-202, August.
    8. AfDB AfDB, . "AfDB Group Annual Report 2004," Annual Report, African Development Bank, number 60 edited by Koua Louis Kouakou.
    9. Florence Legros, 2003. "Notional Defined Contribution : a Comparison of the French and the German Point Systems," Working Papers 2003-14, CEPII research center.
    10. Carter, Lawrence R. & Lee, Ronald D., 1992. "Modeling and forecasting US sex differentials in mortality," International Journal of Forecasting, Elsevier, vol. 8(3), pages 393-411, November.
    11. Valkonen, Tarmo, 2002. "Demographic Uncertainty and Taxes," Discussion Papers 816, The Research Institute of the Finnish Economy.
    12. Salvador Valdes‐Prieto, 2000. "The Financial Stability of Notional Account Pensions," Scandinavian Journal of Economics, Wiley Blackwell, vol. 102(3), pages 395-417, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Auerbach, Alan J. & Lee, Ronald, 2011. "Welfare and generational equity in sustainable unfunded pension systems," Journal of Public Economics, Elsevier, vol. 95(1), pages 16-27.
    2. Hyndman, Rob J. & Booth, Heather, 2008. "Stochastic population forecasts using functional data models for mortality, fertility and migration," International Journal of Forecasting, Elsevier, vol. 24(3), pages 323-342.
    3. Yueqiang Zhao & Manying Bai & Peng Feng & Mengyuan Zhu, 2018. "Stochastic Assessments of Urban Employees’ Pension Plan of China," Sustainability, MDPI, vol. 10(4), pages 1-15, March.
    4. Cristina Rueda-Sabater & Pedro Alvarez-Esteban, 2008. "The analysis of age-specific fertility patterns via logistic models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 35(9), pages 1053-1070.
    5. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    6. Börsch-Supan, Axel, 2003. "What are NDC Pension Systems? What Do They Bring to Reform Strategies?," MEA discussion paper series 03042, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    7. Katherine Tierney, 2022. "The Future of Assisted Reproductive Technology Live Births in the United States," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(5), pages 2289-2309, October.
    8. Carl Schmertmann & Emilio Zagheni & Joshua R. Goldstein & Mikko Myrskylä, 2014. "Bayesian Forecasting of Cohort Fertility," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(506), pages 500-513, June.
    9. Rueda, Cristina & Rodríguez, Pilar, 2010. "State space models for estimating and forecasting fertility," International Journal of Forecasting, Elsevier, vol. 26(4), pages 712-724, October.
    10. Lassila, Jukka & Valkonen, Tarmo & Alho, Juha M., 2014. "Demographic forecasts and fiscal policy rules," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1098-1109.
    11. Vanella, Patrizio & Deschermeier, Philipp, 2018. "A Probabilistic Cohort-Component Model for Population Forecasting - The Case of Germany," Hannover Economic Papers (HEP) dp-638, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    12. Francesco Billari & Rebecca Graziani & Eugenio Melilli, 2014. "Stochastic Population Forecasting Based on Combinations of Expert Evaluations Within the Bayesian Paradigm," Demography, Springer;Population Association of America (PAA), vol. 51(5), pages 1933-1954, October.
    13. Patrizio Vanella & Philipp Deschermeier & Christina B. Wilke, 2020. "An Overview of Population Projections—Methodological Concepts, International Data Availability, and Use Cases," Forecasting, MDPI, vol. 2(3), pages 1-18, September.
    14. Richter, Andreas & Weber, Frederik, 2009. "Mortality-Indexed Annuities," Discussion Papers in Business Administration 10994, University of Munich, Munich School of Management.
    15. repec:onb:oenbwp:y::i:95:b:1 is not listed on IDEAS
    16. Fang, Lei & Härdle, Wolfgang Karl, 2015. "Stochastic population analysis: A functional data approach," SFB 649 Discussion Papers 2015-007, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    17. John B. Williamson, 2001. "Future Prospects for Notional Defined Contribution Schemes," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 2(4), pages 19-24, October.
    18. Börsch-Supan, Axel, 2004. "From Traditional DB to Notional DC Systems," MEA discussion paper series 04063, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    19. John B. Williamson & Matthew Williams, 2005. "Notional Defined Contribution Accounts," American Journal of Economics and Sociology, Wiley Blackwell, vol. 64(2), pages 485-506, April.
    20. repec:hum:wpaper:sfb649dp2008-052 is not listed on IDEAS
    21. Osman Gulseven, 2016. "Forecasting Population and Demographic Composition of Kuwait Until 2030," International Journal of Economics and Financial Issues, Econjournals, vol. 6(4), pages 1429-1435.
    22. Ugofilippo Basellini & Søren Kjærgaard & Carlo Giovanni Camarda, 2020. "An age-at-death distribution approach to forecast cohort mortality," Working Papers axafx5_3agsuwaphvlfk, French Institute for Demographic Studies.

    More about this item

    JEL classification:

    • 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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cdl:oplwec:qt37k785qq. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/lebrkus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.