Rich Sampling

Rich Sampling is a methodological contribution in the field of sampling design that systematically increases data density and granularity relative to sparse alternatives to enhance representativeness and detection accuracy.

61

Publications

4K

Citations

163

Authors

122

Institutions

Publications per year

2017–2026

21

Authors

163

  1. MK
    Matti Keloharju

    Aalto University, Finland

    2 publications · 39 citations

    2

    h-index

  2. HO
    Hessel Oosterbeek

    University of Amsterdam, Netherlands

    2 publications · 364 citations

    2

    h-index

  3. TM
    Timothy M. E. Davis

    The University of Western Australia, Australia

    1 publications · 62 citations

    1

    h-index

  4. ND
    Nora Dasoki

    FORS – Swiss Centre of Expertise in the Social Sciences, Switzerland

    1 publications · 13 citations

    1

    h-index

  5. GE
    Guy Elcheroth

    University of Lausanne, Switzerland

    1 publications · 13 citations

    1

    h-index

1–5 of 163

Venues

  1. SSRN Electronic Journal

    Repository · 3 publications · 50 citations

    3

    h-index

  2. Industrial and Corporate Change

    2 publications · 53 citations

    2

    h-index

  3. Management Science

    2 publications · 358 citations

    2

    h-index

  4. Journal of Labor Economics

    JOLE · 2 publications · 407 citations

    2

    h-index

  5. Policing An International Journal

    PIJPSM · 2 publications · 254 citations

    2

    h-index

1–5