Hiring Probability

Hiring Probability is a quantitative metric in labor market analysis that represents the likelihood of a job seeker being extended a job offer within a given time frame, differentiated from related employment outcomes by its focus on the employer’s decision-making stage in the hiring process.

46

Publications

17.5K

Citations

99

Authors

70

Institutions

Publications per year

2017–2026

19

Parents

Authors

99

  1. SB
    Stijn Baert

    University of Antwerp, Belgium

    6 publications · 410 citations

    6

    h-index

  2. DV
    Dieter Verhaest

    Ghent University, Belgium

    3 publications · 209 citations

    3

    h-index

  3. JL
    Jonas Lagerström

    Uppsala University, Sweden

    2 publications · 77 citations

    2

    h-index

  4. TS
    Thomas Siedler

    German Institute for Economic Research, Germany

    2 publications · 150 citations

    2

    h-index

  5. MD
    Mary D. Stecher

    University of Northern Colorado, United States

    2 publications · 523 citations

    2

    h-index

1–5 of 99

Venues

  1. SSRN Electronic Journal

    Repository · 3 publications · 58 citations

    3

    h-index

  2. Industrial and Labor Relations Review

    2 publications · 181 citations

    2

    h-index

  3. Journal of Applied Psychology

    2 publications · 523 citations

    2

    h-index

  4. Journal of Applied Probability

    JAP · 2 publications · 86 citations

    2

    h-index

  5. Journal of Labor Economics

    JOLE · 2 publications · 161 citations

    2

    h-index

1–5