Enrollment Demand Estimation

Enrollment Demand Estimation is a quantitative forecasting method that projects future student enrollment in educational institutions by analyzing historical enrollment patterns, demographic trends, and socioeconomic factors to predict the level of demand for educational services.

44

Publications

3.3K

Citations

91

Authors

48

Institutions

Publications per year

2017–2026

1

Authors

91

  1. WC
    William C. Weiler

    Stanford University, United States

    3 publications · 160 citations

    3

    h-index

  2. SA
    Stephen A. Hoenack

    University of Minnesota, United States

    3 publications · 217 citations

    3

    h-index

  3. MS
    Macki Sissoko

    2 publications · 53 citations

    2

    h-index

  4. GP
    George Psacharopoulos

    World Bank, United States

    2 publications · 51 citations

    2

    h-index

  5. SH
    Shi‐Jinn Horng

    National Taiwan University of Science and Technology, Taiwan

    2 publications · 324 citations

    2

    h-index

1–5 of 91

Venues

  1. Expert Systems with Applications

    4 publications · 434 citations

    4

    h-index

  2. Economics of Education Review

    3 publications · 100 citations

    3

    h-index

  3. The Journal of Human Resources

    JHR · 3 publications · 180 citations

    3

    h-index

  4. The Journal of Higher Education

    JHE · 3 publications · 67 citations

    3

    h-index

  5. Economic Inquiry

    3 publications · 172 citations

    3

    h-index

1–5