five

Household, Income and Labour Dynamics in Australia (HILDA) Survey

收藏
Research Data Australia2024-12-14 收录
下载链接:
https://researchdata.edu.au/household-income-labour-hilda-survey/186604
下载链接
链接失效反馈
官方服务:
资源简介:
The Household, Income and Labour Dynamics in Australia (HILDA) Survey is a household-based panel study which began in 2001. The survey is conducted for the (Federal) Department of Families, Housing, Community Services and Indigenous Affairs (FaHCSIA). The Nielsen Company conducted the fieldwork from 2001 to 2008; Roy Morgan Research 2009-. The primary objective of HILDA is to support questions falling into three broad areas: -Income dynamics - focusing on how households respond to policy changes aimed at improving financial incentives, and interactions between changes in family status and poverty. -Labour market dynamics - focusing on low-to-middle income households, female participation, and work to retirement transitions; and -Family dynamics - focusing on family formation, well-being and separation, along with post-separation arrangements for children, and on links between income support and family formation and breakdown. HILDA has the following key features: -It collects information about economic and subjective well-being, labour market dynamics and family dynamics. -Special questionnaire modules are included each wave. -The wave 1 panel consisted of 7,682 households and 19,914 individuals. -Interviews are conducted annually with all adult members of each household. -The panel members are followed over time. -The funding has been guaranteed for twelve waves, though the survey is designed to continue for longer than this. -Academic and other researchers can apply to use the General Release datasets for their research (see Access conditions). As of October 2011 nine waves of data are available to researchers. User Manuals at http://melbourneinstitute.com/hilda/doc/doc_hildamanual.html
提供机构:
The University of Melbourne
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作