Journal article

Evaluation of the best M4 competition methods for small area population forecasting

T Wilson, I Grossman, J Temple

International Journal of Forecasting | Elsevier | Published : 2021

Abstract

The ‘M4’ forecasting competition results were featured recently in a special issue of the International Journal of Forecasting and included projections for demographic time series. We sought to investigate whether the best M4 methods could improve the accuracy of small area population forecasts, which generally suffer from much higher forecast errors than regions with larger populations. The aim of this study was to apply the top ten M4 forecasting methods to produce 5- and 10-year forecasts of small area total populations using historical datasets from Australia and New Zealand. Forecasts were compared against the actual population numbers and forecasts from two simple benchmark models. The..

View full abstract

University of Melbourne Researchers

Grants

Awarded by Australian Research Council


Funding Acknowledgements

Funding source This research was supported by the Australian Re-search Council (Discovery Project DP200101480) .