IDEAS home Printed from
   My bibliography  Save this paper

The Effects of Data Transparency Policy Reforms on Emerging Market Sovereign Bond Spreads


  • Sangyup Choi
  • Yuko Hashimoto


We find that data transparency policy reforms, reflected in subscriptions to the IMF’s Data Standards Initiatives (SDDS and GDDS), reduce the spreads of emerging market sovereign bonds. To overcome endogeneity issues regarding a country’s decision to adopt such reforms, we first show that the reform decision is largely independent of its macroeconomic development. By using an event study, we find that subscriptions to the SDDS or GDDS leads to a 15 percent reduction in the spreads one year following such reforms. This finding is robust to various sensitivity tests, including careful consideration of the interdependence among the structural reforms.

Suggested Citation

  • Sangyup Choi & Yuko Hashimoto, 2017. "The Effects of Data Transparency Policy Reforms on Emerging Market Sovereign Bond Spreads," IMF Working Papers 2017/074, International Monetary Fund.
  • Handle: RePEc:imf:imfwpa:2017/074

    Download full text from publisher

    File URL:
    Download Restriction: no

    Other versions of this item:


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

    Cited by:

    1. von Kalckreuth, Ulf, 2019. "Statistical governance and FDI in emerging economies," Discussion Papers 37/2019, Deutsche Bundesbank.

    More about this item


    Sovereign bonds; Yield curve; Special Data Dissemination Standard (SDDS); Emerging and frontier financial markets; WP; sovereign bond; reform; data transparency policy reform; sovereign bond spread;
    All these keywords.

    JEL classification:

    • F30 - International Economics - - International Finance - - - General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G20 - Financial Economics - - Financial Institutions and Services - - - General


    Access and download statistics


    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:imf:imfwpa:2017/074. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Akshay Modi). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.