Population-based Enrollment Modeling

Population-Based Enrollment Modeling is a systematic method for projecting academic enrollments by estimating the size and characteristics of eligible populations within defined geographic or demographic boundaries, differentiating it from institution-centric or historical trend models through its foundational reliance on population-level data sources and demographic analytics.

6

Publications

190

Citations

11

Authors

9

Institutions

Publications per year

2017–2026

1

Authors

11

  1. WC
    William C. Weiler

    Stanford University, United States

    1 publications · 13 citations

    1

    h-index

  2. MP
    Marc P. Armstrong

    University of Iowa, United States

    1 publications · 21 citations

    1

    h-index

  3. AV
    Adan Vela

    Georgia Institute of Technology, United States

    1 publications · 17 citations

    1

    h-index

  4. TH
    Thomas H. Bruggink

    Lafayette College, United States

    1 publications · 31 citations

    1

    h-index

  5. PW
    Paul W. Andersen

    University of California, Los Angeles, United States

    1 publications · 24 citations

    1

    h-index

1–5 of 11

Venues

  1. Socio-Economic Planning Sciences

    2 publications · 45 citations

    2

    h-index

  2. Economics of Education Review

    1 publications · 13 citations

    1

    h-index

  3. Educational Data Mining

    Conference · 1 publications · 17 citations

    1

    h-index

  4. Research in Higher Education

    1 publications · 31 citations

    1

    h-index

  5. 1

    h-index

1–5