Academic Journal

Forecasting school enrollments in the Australian Capital Territory.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Forecasting school enrollments in the Australian Capital Territory.
Συγγραφείς: Shen, Tianyu1 (AUTHOR), Raymer, James1 (AUTHOR), Hendy, Caroline2 (AUTHOR)
Πηγή: Journal of the Royal Statistical Society: Series A (Statistics in Society). Oct2025, Vol. 188 Issue 4, p1107-1124. 18p.
Θεματικοί όροι: *Forecasting, *Monte Carlo method, School enrollment, Population forecasting, Internal migration, Confidence intervals
Γεωγραφικοί όροι: Australian Capital Territory
Περίληψη: School enrollment forecasts are vital for effective planning. This study introduces a probabilistic multiregional population projection model, which accounts for different components, including preschool entries, migration, grade progression, and graduations. Using different distributions with a cohort component projection and Monte Carlo simulation, this paper forecasts student enrollments for each school and academic year level in the Australian Capital Territory based on the annual record-level administrative data. In the in-sample validation tests, the model's overall performance is robust, and the probabilistic design offers reliable prediction intervals reflecting the variation in observed values. The paper ends with a discussion on the importance of prediction intervals for informing school planning. [ABSTRACT FROM AUTHOR]
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Βάση Δεδομένων: Business Source Index
Περιγραφή
ISSN:09641998
DOI:10.1093/jrsssa/qnae094