Forecasting Australian fertility by age, region, and birthplace

Yang Yang, Han Lin Shang*, James Raymer

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Fertility differentials by urban–rural residence and nativity of women in Australia significantly impact population composition at sub-national levels. We aim to provide consistent fertility forecasts for Australian women characterized by age, region, and birthplace. Age-specific fertility rates at the national and sub-national levels obtained from census data between 1981 and 2011 are jointly modeled and forecast by the grouped functional time series method. Forecasts for women of each region and birthplace are reconciled following the chosen hierarchies to ensure that results at various disaggregation levels consistently sum up to the respective national total. Coupling the region of residence disaggregation structure with the trace minimization reconciliation method produces the most accurate point and interval forecasts. In addition, age-specific fertility rates disaggregated by the birthplace of women show significant heterogeneity that supports the application of the grouped forecasting method.

Original languageEnglish
Pages (from-to)532-548
Number of pages17
JournalInternational Journal of Forecasting
Volume40
Issue number2
Early online date31 Aug 2022
DOIs
Publication statusPublished - Apr 2024

Keywords

  • Forecast reconciliation
  • Functional principal component analysis
  • Grouped time series
  • Minimum trace
  • Optimal combination

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