Public Sector Forecasting

Public Sector Forecasting is a data-driven analytical method that specifically enables the systematic prediction of future public administration outcomes by leveraging historical government data and statistical modeling techniques to inform policy and operational decisions.

34

Publications

1.1K

Citations

52

Authors

41

Institutions

Publications per year

2017–2026

5

Authors

52

  1. HA
    Howard A. Frank

    Beth Israel Deaconess Hospital, United States

    3 publications · 55 citations

    3

    h-index

  2. JK
    J. Kevin Corder

    Western Michigan University, United States

    2 publications · 67 citations

    2

    h-index

  3. MS
    Mark S. Kamlet

    Carnegie Mellon University, United States

    1 publications · 44 citations

    1

    h-index

  4. DW
    Daniel Williams

    Baruch College, United States

    1 publications · 39 citations

    1

    h-index

  5. MM
    Michael McAleer

    Erasmus University Rotterdam, Netherlands

    1 publications · 14 citations

    1

    h-index

1–5 of 52

Venues

  1. International Journal of Public Administration

    IJPA · 3 publications · 63 citations

    3

    h-index

  2. International Journal of Forecasting

    3 publications · 51 citations

    3

    h-index

  3. Public Administration Review

    PAR · 2 publications · 77 citations

    2

    h-index

  4. 2

    h-index

  5. Public Budgeting &amp Finance

    2 publications · 65 citations

    2

    h-index

1–5