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Saving and taxation in a voluntary pension system: Toward an agent-based model

Author

Listed:
  • Balazs Kiraly

    (Institute of Physics of Budapest University of Technology, Budapest)

  • Andras Simonovits

    (Institute of Economics - Centre for Economic and Regional Studies, Hungarian Academy of Sciences also Mathematical Institute of Budapest University of Technology, Budapest)

Abstract

Mandatory pension systems only partially replace old-age income, therefore the government also operates a voluntary pension system, where savings are matched by government grants. Accounting for the resulting tax expenditure, our models describe the income flow from shortsighted to farsighted workers. 1. In rational models, explicit results are obtained, showing the limited learning of shortsighted workers. 2. In agent-based models, this learning is improved and this raises the shortsighted workers' saving and reduces perverse income redistribution.

Suggested Citation

  • Balazs Kiraly & Andras Simonovits, 2016. "Saving and taxation in a voluntary pension system: Toward an agent-based model," CERS-IE WORKING PAPERS 1606, Institute of Economics, Centre for Economic and Regional Studies.
  • Handle: RePEc:has:discpr:1606
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    References listed on IDEAS

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    1. Paul A. Samuelson, 1958. "An Exact Consumption-Loan Model of Interest with or without the Social Contrivance of Money," Journal of Political Economy, University of Chicago Press, vol. 66(6), pages 467-467.
    2. Esther Duflo & William Gale & Jeffrey Liebman & Peter Orszag & Emmanuel Saez, 2007. "Savings Incentives for Low- and Moderate-Income Families in the United States: Why is the Saver's Credit Not More Effective?," Journal of the European Economic Association, MIT Press, vol. 5(2-3), pages 647-661, 04-05.
    3. János Vincze & Gergely Varga, 2015. "Ants and crickets: arbitrary saving rates in an agent-based model with infinitely lived-agents," CERS-IE WORKING PAPERS 1504, Institute of Economics, Centre for Economic and Regional Studies.
    4. R. Glenn Hubbard & Jonathan S. Skinner, 1996. "Assessing the Effectiveness of Saving Incentives," Books, American Enterprise Institute, number 53540, September.
    5. Tesfatsion, Leigh & Judd, Kenneth L., 2006. "Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics," Staff General Research Papers Archive 10368, Iowa State University, Department of Economics.
    6. Tesfatsion, Leigh, 2006. "Agent-Based Computational Economics: A Constructive Approach to Economic Theory," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 16, pages 831-880, Elsevier.
    7. Zsombor Z. Meder & Andras Simonovits & Janos Vincze, 2012. "Tax Morale and Tax Evasion: Social Preferences and Bounded Rationality," CERS-IE WORKING PAPERS 1203, Institute of Economics, Centre for Economic and Regional Studies.
    8. Hans Fehr & Christian Habermann & Fabian Kindermann, 2008. "Tax-Favored Retirement Accounts: Are they Efficient in Increasing Savings and Growth?," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 64(2), pages 171-198, June.
    9. T. Findley & Frank Caliendo, 2009. "Short horizons, time inconsistency, and optimal social security," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 16(4), pages 487-513, August.
    10. Leigh Tesfatsion & Kenneth L. Judd (ed.), 2006. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 2, number 2.
    11. R. Glenn Hubbard & Jonathan S. Skinner, 1996. "Assessing the Effectiveness of Saving Incentives," Journal of Economic Perspectives, American Economic Association, vol. 10(4), pages 73-90, Fall.
    12. Barr, Nicholas & Diamond, Peter, 2008. "Reforming Pensions: Principles and Policy Choices," OUP Catalogue, Oxford University Press, number 9780195311303.
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    Cited by:

    1. Balázs Király & András Simonovits, 2019. "Learning to save in a voluntary pension system: toward an agent-based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(1), pages 121-145, March.

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    More about this item

    Keywords

    life-cycle savings; overlapping generations; mandatory pensions; voluntary pensions; agent-based models;
    All these keywords.

    JEL classification:

    • H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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