Methods Explained: Temporal disaggregation

Abstract

National statistics institutions often face the task of producing timely data, such as monthly and quarterly time series, even though sources are less timely. Temporal disaggregation is the process of deriving high frequency data from low frequency data, and is closely related to benchmarking and interpolation. This article describes and demonstrates some of the available techniques.