TY - JOUR
T1 - The School Transition Estimation and Projection (STEP) model
T2 - A flexible framework for analysing and projecting school enrolments
AU - Xiang, Lili
AU - Raymer, James
AU - Gray, Edith
N1 - Publisher Copyright:
© 2023 The Authors. Population, Space and Place published by John Wiley & Sons Ltd.
PY - 2023/7
Y1 - 2023/7
N2 - Accurate school-level enrolment predictions are critical for local government and planners to allocate education-related resources and ensure necessary school infrastructure is provided. Although individual-level school census data are increasingly available for education departments, there is little evidence that these data are being used to improve school enrolment projections. This paper fills this methodological void by developing a School Transition Estimation and Projection (STEP) modelling framework. The STEP model simultaneously projects all schools in a city or region by all academic levels (e.g., Preschool to Year 12) and across three school sectors (Public, Catholic and Independent) using cohort information on the sources of enrolment change (i.e., Preschool entries, within district transfers, in-migration, out-migration, Year 12 graduates) and their trends over time. In this paper, we present the model and its application to schools in the Australian Capital Territory. We also show how the model greatly increases the capacity to understand and predict enrolment change, while increasing efficiency and reducing bias.
AB - Accurate school-level enrolment predictions are critical for local government and planners to allocate education-related resources and ensure necessary school infrastructure is provided. Although individual-level school census data are increasingly available for education departments, there is little evidence that these data are being used to improve school enrolment projections. This paper fills this methodological void by developing a School Transition Estimation and Projection (STEP) modelling framework. The STEP model simultaneously projects all schools in a city or region by all academic levels (e.g., Preschool to Year 12) and across three school sectors (Public, Catholic and Independent) using cohort information on the sources of enrolment change (i.e., Preschool entries, within district transfers, in-migration, out-migration, Year 12 graduates) and their trends over time. In this paper, we present the model and its application to schools in the Australian Capital Territory. We also show how the model greatly increases the capacity to understand and predict enrolment change, while increasing efficiency and reducing bias.
KW - green field development
KW - projection
KW - school enrolment planning
KW - school sectors
KW - urban intensification
UR - http://www.scopus.com/inward/record.url?scp=85162061714&partnerID=8YFLogxK
U2 - 10.1002/psp.2681
DO - 10.1002/psp.2681
M3 - Article
SN - 1544-8444
VL - 29
JO - Population, Space and Place
JF - Population, Space and Place
IS - 5
M1 - e2681
ER -