Following Bover and Gómez (2004), we consider a model in which there is more than one possible exit from full time labour force participation or equivalently in our context, more than one possible entry to retirement: either partially or fully.
In both Spain and the Netherlands, women comprise three-quarters of the part-time labour force.
A multiple linear regression model of the log of weekly income was used to analyse the differences between weekly incomes of people in the labour force (full-time and part-time) with no health condition and people not in the labour force due to depression and due to other mental health conditions.
Loss of earnings was estimated using three surveys: the carers survey - to examine the proportion of male to female, part-time to full-time carers, the labour-force survey - to calculate average earnings, and the population estimate.
About 2% of the labour force are full-time farmers and another 15% are part-time farmers.
Ms Yellen identified four main labour market factors: underemployment and especially the number of part-timers who say they would like to be full-time; long-term unemployment; the labour force participation rate (LFPR); and wages.
Sociodemographic variables involved current marital status (married/de facto, separated/divorced/widowed, never married), employment status (full-time, part-time, not in labour force), education (total years studying to highest qualification), parent (yes/no).
Typically, separate analyses are conducted for young men and young women since there are important gender differences, notably in earnings, labour force participation and full-time work.
Conversely, nurse FTEs are subtracted from the labour market through death, retirement, emigration, disability and decreased labour force participation (shifting from full-time to part-time employment).
Initial descriptive analysis was undertaken to determine the mean and median weekly income, taxation payments, and social security benefits attributable to individuals employed full time, employed part time, not in the labour force due to depression and and not in the labour force due to other mental health conditions.
