Journal of the Royal Statistical Society. Series A (Statistics in Society)
Опубликовано на портале: 11-09-2003Roger Davidson Journal of the Royal Statistical Society. Series A (Statistics in Society). 1995. Vol. Vol. 158. No. 1.. P. pp. 165-173.
This paper explores some of the social and economic forces shaping the development of official labour statistics in Britain a century ago. It examines the competing fears and ideologies that fuelled the demand for intelligence about the labour market and the major constraints on its provision, such as Treasury control, industrial resistance and the lack of co-ordination between the statistical branches of government. The broader impact of official labour statistics on social politics is discussed in both a British and an international context, with particular reference to the problems of industrial unrest, unemployment and low income destitution. The paper uses a historical perspective to demonstrate the continuing significance of past investigations to British labour statistics.
Producing Monthly Estimates of Unemployment of Employment Accounting to the International Labour Definition [статья]
Опубликовано на портале: 22-09-2003David Steel Journal of the Royal Statistical Society. Series A (Statistics in Society). 1997. Vol. Vol. 160. No. 1. . P. pp. 5-46..
Monthly unemployment statistics are available in Britain from a monthly count of the number of people claiming unemployment-related benefits. There has been considerable debate on the appropriateness of this measure. Unemployment and employment statistics are available quarterly from the Labour Force Survey (LFS), using International Labour Office (ILO) definitions. In this paper various options for producing monthly unemployment estimates according to the ILO definition are examined. Methods considered are a monthly LFS, calculating rolling averages from the quarterly LFS, and methods which combine LFS and claimant count data. It is proposed that a monthly LFS of 60 000 households be introduced which can produce monthly estimates of total unemployment and more detailed estimates quarterly. Such a survey would also fill an important gap by providing monthly employment statistics which are needed to provide a complete picture of the labour market.