IDEAS home Printed from https://ideas.repec.org/a/taf/sactxx/v2018y2018i3p225-249.html
   My bibliography  Save this article

Optimal retirement time under habit persistence: what makes individuals retire early?

Author

Listed:
  • An Chen
  • Felix Hentschel
  • Xian Xu

Abstract

As the effective labor market exit observed in most OECD countries is lower than the corresponding official retirement age, the question concerning the driving factors for an early retirement decision arises. This paper incorporates the optimal retirement decision in an optimal consumption and asset allocation problem in order to analyze, among others, the effect of habit forming preferences and diverse leisure preferences for earlier retirement. We compare two possible situations for the retirement phase: (a) the individual is allowed to freely consume and invest; (b) he annuitizes his wealth at retirement and consumes the annuity income. We find that early retirement is optimal if leisure gain through earlier retirement is highly appreciated or the standard of living (habit level) is low. Additionally, our numerical results show that high initial wealth or low labor income lead to early retirement, confirming observations of Fields & Mitchell.

Suggested Citation

  • An Chen & Felix Hentschel & Xian Xu, 2018. "Optimal retirement time under habit persistence: what makes individuals retire early?," Scandinavian Actuarial Journal, Taylor & Francis Journals, vol. 2018(3), pages 225-249, March.
  • Handle: RePEc:taf:sactxx:v:2018:y:2018:i:3:p:225-249
    DOI: 10.1080/03461238.2017.1339634
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03461238.2017.1339634
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/03461238.2017.1339634?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. Ferrari, Giorgio & Zhu, Shihao, 2023. "Optimal Retirement Choice under Age-dependent Force of Mortality," Center for Mathematical Economics Working Papers 683, Center for Mathematical Economics, Bielefeld University.
    2. Giorgio Ferrari & Shihao Zhu, 2023. "Optimal Retirement Choice under Age-dependent Force of Mortality," Papers 2311.12169, arXiv.org.
    3. Guan, Guohui & Liang, Zongxia & Ma, Xingjian, 2024. "Optimal annuitization and asset allocation under linear habit formation," Insurance: Mathematics and Economics, Elsevier, vol. 114(C), pages 176-191.

    More about this item

    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:taf:sactxx:v:2018:y:2018:i:3:p:225-249. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/sact .

    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.