Fitting a fuzzy consensus partition to a set of partitions to analyze the modern economic growth across countries
For the Time-Use survey conducted by Insee in 1999 data was gathered from seven-day diaries in which working people noted their working hours for one week. Different types of working weeks were categorized by applying a two-stage optimal matching method, firstly for working days, then for simplified weeks using day types. The days differ greatly according to socio-professional category, the type of job, sector, but also gender. Pronounced regularities also emerge at a weekly level. Generally speaking, the better ones position in the economic system, the more independent time-management one has and the more working weeks are standard or long. Meanwhile, less skilled workers have working weeks which are shorter on average, but have staggered and fragmented schedules and a very low degree of control over their working time. For couples less independent time-management leads to their work schedules becoming more desynchronized and this creates new inequalities between households.
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