G2TT
来源类型Discussion paper
规范类型论文
来源IDDP434
DP434 Worker Absenteeism: An Analysis Using Microdata
John Treble; Tim Barmby
发表日期1990-08-01
出版年1990
语种英语
摘要This paper presents preliminary findings of a study of worker absenteeism. Our main purpose is to identify the various factors that influence the rate of absence for individual workers and to quantify their impact. Candidates for inclusion are measurable factors relating either to the structure of the terms and conditions of work (including the sick-pay scheme and disciplinary system); or personal characteristics of the workers themselves. The firm studied operates an experience-rated sick-pay scheme and the results reported in the paper concentrate on the analysis of a data set constructed from their payroll and attendance records. Under the scheme, workers' entitlement to sick pay in the current calendar year is determined by their record of absence over the previous two years. This is achieved by assigning the workers to three groups: good attenders (A), average attenders (B) and poor attenders (C). A worker's group is determined by the number of absence `points' accumulated during the previous two years. Points are given for any absence that is not deemed acceptable. (Acceptable absences are mostly medically certified.) We find that for the most part, the firm's sick-pay scheme works most effectively on the duration of absence, and not its incidence. The incidence of absence appears to be determined mostly by personal characteristics (especially sex and marital status). We interpret this to mean that workers do not consider their entitlement to sick pay when commencing an absence, but that they do consider it when deciding to return to work.
关键词Absenteeism Dynamic stochastic programming Sequential logit Sick-pay Weibull hazard
URLhttps://cepr.org/publications/dp434
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/529592
推荐引用方式
GB/T 7714
John Treble,Tim Barmby. DP434 Worker Absenteeism: An Analysis Using Microdata. 1990.
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