Debt Data Quality

Debt Data Quality is a measurement construct that assesses the accuracy, completeness, consistency, and timeliness of debt-related financial information in accordance with standardized reporting frameworks.

22

Publications

1.6K

Citations

55

Authors

36

Institutions

Publications per year

2017–2026

10

Authors

55

  1. MM
    Marialuz Moreno Badia

    International Monetary Fund, United States

    2 publications · 167 citations

    2

    h-index

  2. SM
    Samba Mbaye

    International Monetary Fund, United States

    2 publications · 167 citations

    2

    h-index

  3. KC
    Kyungla Chae

    International Monetary Fund, United States

    2 publications · 167 citations

    2

    h-index

  4. MD
    Michiel De Meyere

    Ghent University, Belgium

    1 publications · 111 citations

    1

    h-index

  5. AC
    Alexander Chatzigeorgiou

    University of Macedonia, Greece

    1 publications · 39 citations

    1

    h-index

1–5 of 55

Venues

  1. SSRN Electronic Journal

    Repository · 3 publications · 295 citations

    3

    h-index

  2. IMF Working Paper

    2 publications · 167 citations

    2

    h-index

  3. Small Business Economics

    2 publications · 131 citations

    2

    h-index

  4. Federal Reserve Bulletin

    1 publications · 130 citations

    1

    h-index

  5. 1

    h-index

1–5