Sentence examples for employment separately from inspiring English sources

Exact(1)

SMR were computed for the overall study population as well as according to duration, time since first and last employment and age at first employment, separately for men and women (Breslow and Day, 1987).

Similar(59)

The chart below displays quarterly employment rates separately for married women and unmarried women who were heads of households, both under age 65.

While theory does not provide guidance on the expected impact of immigrant inflows on fertility and employment outcomes separately, it does suggest that immigrant inflows should make combining work and family life easier for women.

We used Poisson regression models with a robust variance estimator to directly estimate prevalence ratios with corresponding 95% confidence intervals for short sleep duration in Asians compared to short sleep in Whites by industry of employment and, separately, for occupation [ 37].

Released on Sunday through his new website scotlandseptember18.com, his TNS poll found that, echoing the BBC, the economy and separately employment and job prospects, were the dominant issues for a total of 30% of voters.

Given that gender segregation across occupations is high in Spain, it is interesting to present changes in the structure of employment by occupation separately for men and women.

The impact on each employment benefit analyzed separately shows an increase in the share of men and a reduction in the share of women receiving each of them, except for the not significant change in the maximum of weekly hours of work for men (columns 3 to 7 of Appendix: Table 12).

So far, I have analyzed employment and earnings adjustments separately, even though the employer may take decisions about employment and earnings simultaneously.

One unfortunate limitation of the current paper is that there may be unobservable differences between stayers and leavers that also separately affect employment outcomes 2. For example, leavers may be more ambitious and career driven than stayers.

This usually involves trying to identify a variable that affects the probability of migration but does not separately affect employment outcomes such as proximity to family or housing tenure in the previous period.

Figure 3 shows employment rates for men, separately for those with and those without limiting long term illness, and for each of the four occupational groups.

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