
SummaryThe paper argues that we need more general statistical indices for the analysis of the European labour markets. First, the paper discusses some normative aspects that are implicit in the current definition of the employment rate, which is a fundamental policy target in the new strategy Europe 2020. Second, it proposes a class of generalized indices based on work intensity, as approximated by the total annual hours of work relative to a benchmark value. Third, it derives, in a consistent framework, household level employment indices. These indices provide a more nuanced picture of the European labour markets, which better reflects the diversity in the use of part-time and fixed term jobs as well as other factors affecting the allocation of work between and within households.
inequality, employment rate, jobless household rate, work intensity, Applications of statistics, employment rate, work intensity, jobless household rate, jel: jel:J21, jel: jel:E24
inequality, employment rate, jobless household rate, work intensity, Applications of statistics, employment rate, work intensity, jobless household rate, jel: jel:J21, jel: jel:E24
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 169 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 0.1% |
