Concepedia

Vacancy Data Quality

Vacancy Data Quality is a metric that assesses the accuracy, completeness, consistency, and timeliness of job vacancy records within labor market datasets to ensure their reliability and validity for analytical and decision-making purposes.

2

Publications

46

Citations

7

Authors

5

Institutions

Publications per year

2017–2026

2

Parents

Publications

2

1–2 of 2

Authors

7

  1. MA
    Matthew A. Kraft

    John Brown University, United States

    1 publications · 23 citations

    1

    h-index

  2. BL
    Benjamin Lochner

    Institut für Arbeitsmarkt und Berufsforschung, Germany

    1 publications · 23 citations

    1

    h-index

  3. BK
    Benjamin Küfner

    Institut für Arbeitsmarkt und Berufsforschung, Germany

    1 publications · 23 citations

    1

    h-index

  4. MB
    Mario Bossler

    Institut für Arbeitsmarkt und Berufsforschung, Germany

    1 publications · 23 citations

    1

    h-index

  5. AK
    Alexander Kubis

    Halle Institute for Economic Research, Germany

    1 publications · 23 citations

    1

    h-index

1–5 of 7

Institutions

5

  1. Centre for European Economic Research

    Mannheim, Germany

    1 h-index

    1 publications

    23 citations

  2. University of Pittsburgh

    Pittsburgh, United States

    1 h-index

    1 publications

    23 citations

  3. Brown University

    Providence, United States

    1 h-index

    1 publications

    23 citations

  4. Institut für Arbeitsmarkt und Berufsforschung

    Nuremberg, Germany

    1 h-index

    5 publications

    115 citations

  5. Halle Institute for Economic Research

    Halle, Germany

    1 h-index

    1 publications

    23 citations

1–5 of 5

Venues

  1. Education Finance and Policy

    EFP · 1 publications · 23 citations

    1

    h-index

  2. Journal for Labour Market Research

    ZAF · 1 publications · 23 citations

    1

    h-index

1–2