Debt Data Standards

Debt Data Standards is a formalized framework within the domain of financial reporting that establishes uniform criteria for the classification, measurement, presentation, and dissemination of public and private debt data to ensure consistency, comparability, and transparency across jurisdictions and institutions.

3

Publications

186

Citations

5

Authors

2

Institutions

Publications per year

2017–2026

2

Authors

5

  1. SM
    Samba Mbaye

    International Monetary Fund, United States

    2 publications · 167 citations

    2

    h-index

  2. KC
    Kyungla Chae

    International Monetary Fund, United States

    2 publications · 167 citations

    2

    h-index

  3. MM
    Marialuz Moreno Badia

    International Monetary Fund, United States

    2 publications · 167 citations

    2

    h-index

  4. RK
    Roman K. Kovalev

    University of Rochester, United States

    1 publications · 19 citations

    1

    h-index

  5. TS
    Th S. Noonan

    University of Minnesota, United States

    1 publications · 19 citations

    1

    h-index

1–5 of 5

Institutions

2

  1. International Monetary Fund

    Washington D.C., United States

    1 h-index

    1 publications

    94 citations

  2. University of Minnesota

    Minneapolis, United States

    1 h-index

    2 publications

    38 citations

1–2 of 2

Venues

  1. IMF Working Paper

    2 publications · 167 citations

    2

    h-index

  2. Russian History

    RUHI · 1 publications · 19 citations

    1

    h-index

  3. Fìnansi Ukraïni

    1 publications · 11 citations

1–3