英文摘要 |
In the Office for National Statistics (ONS), most headline statistical outputs are seasonally adjusted to aid interpretation of movements within the time series. Seasonal adjustment aims to remove effects associated with the time of the year (for example, higher sales at Christmas) or the arrangement of the calendar (for example, Easter moving between March and April). Each of the 12 Gregorian calendar months is represented in the UK Labour Force Survey (LFS) by a four- or five-week-long survey month, and the time series must therefore be “calendarised”, through the application of regARIMA modelling, in order to improve the quality of seasonally adjusted estimates. This process is tried and tested but, in October 2010, the UK LFS was subject to a one-week-long survey break, or “leapweek”, in order to align its reporting periods with those of the rest of the European Union – which presented a novel problem. This article explains howLFS prior adjustments are constructed in general, and the adaptations necessary to overcome the additional complications caused by the 2010 leapweek. |