WP8: Family Drivers
| WP Leader | TARKI | András Gábos |
|---|---|---|
| WP Co-leader | UNITO | Tiziana Nazio |
The main objective of this WP is to assess the role of family and cultural drivers in shaping the life-course transitions of young people. Specifically we aim:
- to compare the effects of living in work-poor and work-rich families on labour market outcomes;
- to evaluate the role of parental resources in supporting transition to adulthood;
- to analyse demographic trajectories affecting educational and work opportunities;
- to examine gender disparities, the institutional and policy context and the effects of the crisis, horizontally across tasks comparatively over the EU.
| D 8.1 | Report Work-poor and work-rich families influence on youth labour market outcomes |
|---|---|
| D 8.2 | Report Leaving and returning to the parental home during the economic crisis |
| D 8.3 | Report Family strategies to cope with poor labour market outcomes |
| D 8.4 | Report The role of parental material resources in adulthood transitions |
| D 8.5 | Report Family formation strategies, unemployment and precarious employment |
| D 8.6 | Policy synthesis and integrative report |
Work and Role of Partners
The WP is organised around 6 key tasks. The integrated WP report and the policy brief under Task 6 will synthesise these findings. TÁRKI will lead this work package in cooperation with UNITO. TÁRKI will perform Task 4, Task 5 (both with contributions from UNITO), and Task 6. UNITN will realise Task 1 (with contributions from UNITO). Task 2 will be performed by UNITO (with contributions from UNITN). Task 3 will be performed by UNISA and KU. All partners involved in the WP will contribute to Task 6. The data used for Tasks 1-3 includes the most recent UDB (user database) of the EU-SILC available at the time of analysis, completed with the specific module of EU-SILC from 2005 and 2011on the intergenerational transmission of poverty/disadvantages. Tasks 4 & 5 also complement this analysis of the SILC with data from the Generations and Gender Survey and the SHARE. The statistical methods include multivariate regression analysis of cross-sectional and longitudinal data. The use of MLM will be also considered.Task 5 will employ event history analysis, sequence analysis, propensity score matching, and MLM will be considered as analytical tools.
Task 8.1 – Work-poor families
(UNITN)
How do parental characteristic influence the length in unemployment for their children (i.e. offering resources, income support, or prolonged investment in children’s education), and is this effect different for those who live with their parents compared to those who already left their family of origin? We assess these household differences in relation to the policy context (especially unemployment and housing benefits) for different types of households. Data: EU-SILC and SHARE
Task 8.2 – Family strategies
(UNITO)
Do the sequences of unemployment/employment/inactivity spells vary for young people by gender and/or from different family backgrounds? Does a longer time in unemployment lead to access a better job? Does a bad entry job lead to more adverse employment outcomes later? Data: EU-SILC.
Task 8.3 – Returning to parental home
(KU)
What are the patterns of leaving and returning to the parental home and its effects on the household structure, and how do these affect immigrants? (PM: KU7)2. What are the role of economic factors in determining leaving and returning to the parental home in Europe during the crisis? (PM: UNISA 7)3. How does leaving and returning to parental home connect with European youth housing policies? (PM: KU7)Data for both: EU-SILC and Eurobarometer.
Task 8.4 – Parental resources
(TARKI )
- Which unemployed young adults receive financial assistance from their parents? How do gender and class differences vary in these transfers?
- What are the patterns and dynamics of income poverty risks and living conditions among youth?The first question will be analysed using cross-sectional and longitudinal data from the Generations and Gender Survey, the EU-SILC and where possible SHARE.
We will examine two indicators of financial independence from EU-SILC:
- whether young adults keep a portion of their income separate from the household budget and
- their ability to decide about expenses for personal consumption. The EU-SILC will be used for the second sub-task, including the thematic modules on intergenerational transmission of poverty and disadvantages (2005, 2011) and on the intra-household share of resources (2010).
Task 8.5 – Family formation
(TARKI )
- How do characteristics of the family of origin affect family formation transitions? How do these effects vary by gender?
- How do institutional arrangements affect poor labour market outcomes and family formation transitions?
Data: Longitudinal Database from EU-SILC. The use of Generations and Gender Survey and of national panel data for selected countries will be also considered together with data from SHARE. Event history analysis, sequence analysis, propensity score matching, and MLM will be considered as analytical tools.
Task 8.6 – Synthesis & Policy Briefs
(TARKI )
The task will provide policy summaries and a synthesis of tasks 1-5. The integrative report will summarise and integrate the research findings of the specific tasks. it will also provide information to be integrated into WP 3 & 4.