IDEAS home Printed from https://ideas.repec.org/a/eee/ecmode/v80y2019icp320-327.html
   My bibliography  Save this article

Optimal social security tax with myopic agents

Author

Listed:
  • Chu, Hsun
  • Cheng, Chu-chuan

Abstract

Myopic agents lack the foresight to save for their own old age. It is generally believed that correcting myopia is a rationale for a pay-as-you-go (PAYG) pension system. This view has been supported by existing literature showing that the optimal PAYG social security tax should increase when people are more myopic. In this paper we obtain new results opposed to the traditional view. By establishing a very standard general equilibrium OLG model with myopic agents and endogenized marginal product of capital, we show that the optimal social security tax should be lower when people are more myopic. Our numerical analysis also shows that the welfare cost of the social security tax increases with people's degree of myopia. These results suggest that correcting myopia is not a clear rationale for the PAYG social security.

Suggested Citation

  • Chu, Hsun & Cheng, Chu-chuan, 2019. "Optimal social security tax with myopic agents," Economic Modelling, Elsevier, vol. 80(C), pages 320-327.
    • Handle: RePEc:eee:ecmode:v:80:y:2019:i:c:p:320-327
    DOI: 10.1016/j.econmod.2018.11.017
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264999317315754
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econmod.2018.11.017?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wenguang Yu & Fei Wang & Qianshun Sang & Qi Wang & Yixin Gao & Yujuan Huang & Xinliang Yu & Jinrui Xiao & Huilin Zhu & Chaoran Cui, 2020. "Construction and Analysis of Actuarial Model of the Influence of Personal Tax Deferred Commercial Pension Insurance on Personal Pension Wealth in China," Mathematics, MDPI, vol. 8(12), pages 1-23, November.
    2. Del Rey, Elena & Lopez-Garcia, Miguel-Angel, 2020. "On government-created credit markets for education and endogenous growth," Economic Modelling, Elsevier, vol. 92(C), pages 170-179.
    3. Bandyopadhyay, Debasis & La Pere, Anatoly, 2020. "Raising productivity with pension premium," Economic Modelling, Elsevier, vol. 92(C), pages 295-308.
    4. Day, Creina & Day, Garth, 2021. "Aging, voters and lower income tax: A role for pension design," Economic Modelling, Elsevier, vol. 94(C), pages 560-569.
    5. Lopez-Velasco, Armando R., 2024. "Markov equilibrium of social security: An analytic solution under CRRA utility and the future of social security," Economic Modelling, Elsevier, vol. 132(C).

    More about this item

    Keywords

    PAYG pensions; Myopic behaviors; Social security tax;
    All these keywords.

    JEL classification:

    • J26 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Retirement; Retirement Policies
    • H30 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - General
    • H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions

    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:eee:ecmode:v:80:y:2019:i:c:p:320-327. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30411 .

    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.