IDEAS home Printed from https://ideas.repec.org/a/dah/aeqccm/v55_y2022_i1_q1_p35-66.html
   My bibliography  Save this article

State-Contingent Government Debt: a New Database

Author

Listed:
  • Gonçalo Pina

Abstract

State-contingent government debt has been proposed as a way to reduce costly debt crisis. However, markets for this type of debt remain very limited, for reasons that are not yet fully understood. This paper describes a new database covering state-contingent government debt issued between 1863 and 2020. Based on these data, this paper shows stylized facts regarding the main design features, and market performance, of state-contingent government debt. It also provides a brief history of state-contingent government borrowing, which is contextualized with a simple theoretical model of state-contingent debt. The results show that there have been several small, heterogeneous, issuances of state-contingent debt, which resemble pilot runs in this new asset class. The paper concludes with some common challenges associated to state-contingent government debt.

Suggested Citation

  • Gonçalo Pina, 2022. "State-Contingent Government Debt: a New Database," Credit and Capital Markets – Kredit und Kapital, Duncker & Humblot, Berlin, vol. 55(1), pages 35-66.
  • Handle: RePEc:dah:aeqccm:v55_y2022_i1_q1_p35-66
    DOI: 10.3790/ccm.55.1.35
    as

    Download full text from publisher

    File URL: https://doi.org/10.3790/ccm.55.1.35
    Download Restriction: no

    File URL: https://libkey.io/10.3790/ccm.55.1.35?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
    ---><---

    Citations

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


    Cited by:

    1. Yasin Kursat Onder, 2023. "Optimal GDP-indexed Bonds," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 747-777, December.
    2. Pina, Gonçalo, 2024. "State-contingent debt with lender risk aversion," The Quarterly Review of Economics and Finance, Elsevier, vol. 94(C), pages 180-189.

    More about this item

    Keywords

    State-Contingent Debt; GDP-Linked Bonds; Public Debt;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • N2 - Economic History - - Financial Markets and Institutions
    • H63 - Public Economics - - National Budget, Deficit, and Debt - - - Debt; Debt Management; Sovereign Debt

    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:dah:aeqccm:v55_y2022_i1_q1_p35-66. 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: E-Publishing-Team (email available below). General contact details of provider: https://www.duncker-humblot.de .

    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.