期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Improving timeliness and accuracy of estimates from the UK labour force survey
1
作者 D.J.Elliott p.zong 《Statistical Theory and Related Fields》 2019年第2期186-198,共13页
Estimates of unemployment in the UK are based on data collected in the Labour Force Survey(LFS). The data is collected continuously and the survey design is structured in such a way asto provide quarterly estimates. T... Estimates of unemployment in the UK are based on data collected in the Labour Force Survey(LFS). The data is collected continuously and the survey design is structured in such a way asto provide quarterly estimates. These quarterly estimates are published each month as ‘rollingquarterly’ estimates. Currently the Office for National Statistics (ONS) publish rolling quarterlyestimates, and these have been assessed to be of sufficient quality to be badged as ‘NationalStatistics’. ONS also publish monthly estimates of a selection of labour force variables, but theseare designated ‘Experimental Statistics’ due to concerns over the quality of these data. Due to thesample design of the LFS, monthly estimates of change are volatile as there is no sample overlap.A state space model can be used to develop improved estimates of monthly change, accountingfor aspects of the survey design. An additional source of information related to unemployment isadministrative data on the number of people claiming unemployment related benefits. This datais more timely than survey data collected in the LFS and can be used to provide early estimatesof monthly unemployment. 展开更多
关键词 UNEMPLOYMENT rotation group bias state space models
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部