Presentation is loading. Please wait.

Presentation is loading. Please wait.

Social inclusion research at NATSEM: recent findings and future plans Justine McNamara Presentation to Department of Planning and Community Development,

Similar presentations


Presentation on theme: "Social inclusion research at NATSEM: recent findings and future plans Justine McNamara Presentation to Department of Planning and Community Development,"— Presentation transcript:

1 Social inclusion research at NATSEM: recent findings and future plans Justine McNamara Presentation to Department of Planning and Community Development, Victoria 31 July 2009

2 2 Overview Child Social Exclusion Index: work completed to date and main findings Opportunity and Disadvantage at a small area level Other related work and future research plans

3 3 Social exclusion Multidimensional measure of disadvantage Limitations of income-based measures of disadvantage

4 4 Social exclusion Social exclusion happens when people or places suffer from a series of problems such as unemployment, discrimination, poor skills, low incomes, poor housing, high crime, ill health and family breakdown. When such problems combine they can create a vicious cycle. (SEU, Office of the Deputy Prime Minister)

5 5 Spatial differences Increasing interest in Australia in examining geographical differences in advantage and disadvantage - federal government SIUs early priority areas include locational disadvantage: Focusing on particular locations, neighbourhoods and communities to ensure programs and services are getting to the right places (Social Inclusion Website, on particular locations, neighbourhoods and communities to ensure programs and services are getting to the right places - ABS – Community Indicators summit (July 2009)

6 6 Child Social Exclusion Index Child-focused, place-based, composite index Funded from an ARC Discovery Grant and an ARC Linkage Grant

7 7 Acknowledgments Fellow authors: Anne Daly, Robert Tanton, Ann Harding This work was funded by an Australian Research Council Discovery Grant (DP ) and an Australian Research Council Linkage Grant (LP775396) Linkage partners Based on data provided by the Australian Bureau of Statistics from the 2001 and 2006 Census of Population and Housing

8 CSE Index

9 index - methodology Data: Australian 2006 Census of Population and Housing Spatial Unit: Statistical Local Area (SLA) Statistical method: Principal Components Analysis

10 10 Variables in the 2006 model Note: Occupation proportions are calculated using only those families in which at least one person was working. The public housing definition used includes community housing. Data source: ABS Census of Population and Housing 2006

11 11

12 12

13 13 State and territory differences, 2006 Index Data source: ABS Census of Population and Housing 2006, authors calculations

14 14 Capital city/balance of state, 2006 Index Data source: ABS Census of Population and Housing 2006, authors calculations

15 15 Analysis of characteristics, 2006 Index Note: Percentages shown here relate only to those children with valid data for that characteristic. Occupation proportions are calculated using only those families in which at least one person was working. The public housing definition used includes community housing. Data source: ABS Census of Population and Housing 2006; authors calculations.

16 16 Over time comparison: 2001 to 2006 What has happened over these 5 years in regard to individual variables which make up the index? What happened to child social exclusion risk at a small area level – persistence or change? What might be driving such persistence or change?

17 17 Over time comparison Create versions of 2001 and 2006 index suitable for over time comparison Restricted variables (no internet, no volunteering, some issues re comparison of education over time) Weighting methodology Changes in SLA boundaries

18 18 What happened between 2001 and 2006: national overview of small area child characteristics

19 19 What happened between 2001 and 2006: small areas Similar overall patterns 2001 and 2006 – generally, risk levels persist Slightly more capital city areas high risk in 2006 than 2001, but low risk areas still overwhelmingly capital city Some decrease in high risk areas in Brisbane and Perth (?resources boom) Some downward movement and growing clusters, but hard to identify spatial patterns

20 20 Opportunity and Disadvantage: small area differences in well-being

21 21 Opportunity and Disadvantage Discovery Grant (with ARC research network partners and others) To better understand how well-being varies by location To better understand spatial well-being for different sub-groups in the population (children and older people) To generate synthetic information on the small area characteristics of households To create databases of small area statistics and incorporate these into a GIS Based spatial decision support system to allow online access for Australian researchers

22 22 Opportunity and Disadvantage Discovery Grant – selected outputs (current and in progress): Synthetic small area poverty estimates for all Australians, children and older people Synthetic small area housing stress estimates Analysis of child housing disadvantage at a small area level Analysis of children in jobless households at a small area level Small area analysis of economic disadvantage and advantage among older Australians National and small area analysis of impact of increase to single age pension Interactive online maps of indicators of well-being for children and older people Literature reviews of child and older adult well-being and disadvantage

23 23 Where older single people benefited from pension increase

24 24 Other related work Examples include: Working poverty Child care Income inequality at a small area level Research on carers

25 25 Future plans Extending child social exclusion work: Funding through ARC Discovery grant (possible 2010) Extensive methodological work Incorporation of new variables Development of youth index Detailed analysis, including over time

26 26 Future plans Developing synthetic small area estimates of social exclusion variables Funding through future Linkage grant (November round) Unavailability of some important social exclusion data at a small area level (eg social capital variables, financial hardship variables) Explore methodologies for generating this data using small area estimation techniques

27 27 Future plans Funding though collaborations with States: For example: Further analysis of working poverty Further child care research Cost sharing arrangement between the States Each State provide some funding; analysis done for all States State has input into research questions and their topics of interest.

28 28 Funding Social exclusion work was funded by ARC grants (Discovery and Linkage) and consultancies If your Department has some ideas around social exclusion, or has some work that needs to be done by experienced methodologists in the social exclusion area, then contact us: Justine McNamara, Robert Tanton,

29 29 Data available on the web Interactive map:

30


Download ppt "Social inclusion research at NATSEM: recent findings and future plans Justine McNamara Presentation to Department of Planning and Community Development,"

Similar presentations


Ads by Google