SlideShare a Scribd company logo
1 of 25
Download to read offline
Trutz Haase
THE POBAL HP DEPRIVATION INDEX
Workshop G: Data for Policy Design and Impact Assessment
OECD LEED Conference on
Implementing Change: A New Local Agenda for Jobs and Growth,
Dublin - Kilkenny, 26-27 March 2013
THE 2011 POBAL HP DEPRIVATION INDEX
The purpose of this presentation is
• to provide an overview of the conceptual components which underlie the
Pobal HP Deprivation Index,
• to provide an overview of the changes in absolute and relative deprivation
between 1991 and 2011, and
• to draw out the Index’ relevance for policy design and impact assessment.
 Relative Poverty
“People are living in poverty if their income and resources
(material, cultural and social) are so inadequate as to preclude
them from having a standard of living which is regarded as
acceptable by Irish society generally.”
(Government of Ireland, NAPS, 1997)
 Relative Deprivation
“The fundamental implication of the term deprivation is of an
absence – of essential or desirable attributes, possessions and
opportunities which are considered no more than the minimum
by that society.”
(Coombes et al., DoE – UK, 1995)
A COMPREHENSIVE DEFINITION OF POVERTY
 EFA is essentially an exploratory technique; .i.e. data-driven
 all variables load on all factors
 the structure matrix is the (accidental) outcome of the variables available
 EFA cannot be used to compare outcomes over time
V1
V2
V3
V4
V5
V6
F1
F2
 Ordinary Factor Analysis (EFA) reduces variables to a smaller number of underlying
Dimensions or Factors
TRADITIONAL APPROACH: EXPLORATORY FACTOR
ANALYSIS (EFA)
 CFA requires a strong theoretical justification before the model is specified
 the researcher decides which of the observed variables are to be associated with which of
the latent constructs
 variables are conceptualised as the imperfect manifestations of the latent concepts
 CFA model allows the comparison of outcomes over time
 CFA facilitates the objective evaluation of the quality of the model through fit statistics
V1
V2
V3
V4
V5
V6
L1
L2
 Confirmatory Factor Analysis also reduces observations to the underlying Factors, however
1
2
3
4
5
6
NEW APPROACH: CONFIRMATORY FACTOR ANALYSIS
(CFA)
 Demographic Decline (predominantly rural)
 population loss and the social and demographic effects of emigration
(age dependency, low education of adult population)
 Social Class Deprivation (applying in rural and urban areas)
 social class composition, education, housing quality
 Labour Market Deprivation (predominantly urban)
 unemployment, lone parents, low skills base
THE UNDERLYING DIMENSIONS OF SOCIAL
DISADVANTAGE
Age Dependency Rate1
PopulationChange
2
PrimaryEducationonly3
Third Level Education4
ProfessionalClasses
5
Persons per Room
6
Lone Parents
7
Semi- and UnskilledClasses
8
Male UnemploymentRate9
Female UnemploymentRate10
Demographic
Growth
Social Class
Composition
Labour Market
Situation
THE BASIC MODEL OF THE SA-LEVEL
POBAL HP DEPRIVATION INDEX
most disadvantaged most affluent
marginally below the average marginally above the average
disadvantaged affluent
very disadvantaged very affluent
extremely disadvantaged extremely affluent
MAPPING DEPRIVATION
ED-LEVEL
ABSOLUTE
INDEX SCORES
1991
HP Deprivation Index ED 1991 absolute
Haase & Pratschke 2013
30 to 75 (53)
20 to 30 (79)
10 to 20 (252)
0 to 10 (1184)
-10 to 0 (1431)
-20 to -10 (360)
-30 to -20 (49)
ED-LEVEL
ABSOLUTE
INDEX SCORES
1996
HP Deprivation Index ED 1996 absolute
Haase & Pratschke 2013
30 to 75 (52)
20 to 30 (133)
10 to 20 (562)
0 to 10 (1625)
-10 to 0 (875)
-20 to -10 (151)
-30 to -20 (10)
ED-LEVEL
ABSOLUTE
INDEX SCORES
2002
HP Deprivation Index ED 2002 absolute
Haase & Pratschke 2013
30 to 75 (77)
20 to 30 (314)
10 to 20 (1021)
0 to 10 (1440)
-10 to 0 (436)
-20 to -10 (103)
-30 to -20 (16)
-50 to -30 (1)
ED-LEVEL
ABSOLUTE
INDEX SCORES
2006
HP Deprivation Index ED 2006 absolute
Haase & Pratschke 2013
30 to 75 (55)
20 to 30 (314)
10 to 20 (1201)
0 to 10 (1385)
-10 to 0 (341)
-20 to -10 (93)
-30 to -20 (18)
-50 to -30 (1)
ED-LEVEL
ABSOLUTE
INDEX SCORES
2011
HP Deprivation Index ED2011 absolute
Haase & Pratschke 2013
30 to 75 (14)
20 to 30 (82)
10 to 20 (296)
0 to 10 (1026)
-10 to 0 (1414)
-20 to -10 (460)
-30 to -20 (98)
-50 to -30 (18)
ED-LEVEL
RELATIVE
INDEX SCORES
1991
HP Deprivation Index ED 1991 relative
Haase & Pratschke 2013
30 to 75 (53)
20 to 30 (79)
10 to 20 (252)
0 to 10 (1184)
-10 to 0 (1431)
-20 to -10 (360)
-30 to -20 (49)
ED-LEVEL
RELATIVE
INDEX SCORES
1996
HP Deprivation Index ED 1996 relative
Haase & Pratschke 2013
30 to 75 (37)
20 to 30 (100)
10 to 20 (325)
0 to 10 (1112)
-10 to 0 (1390)
-20 to -10 (375)
-30 to -20 (66)
-50 to -30 (3)
ED-LEVEL
RELATIVE
INDEX SCORES
2002
HP Deprivation Index ED 2002 relative
Haase & Pratschke 2013
30 to 75 (11)
20 to 30 (86)
10 to 20 (406)
0 to 10 (1125)
-10 to 0 (1333)
-20 to -10 (346)
-30 to -20 (91)
-50 to -30 (10)
ED-LEVEL
RELATIVE
INDEX SCORES
2006
HP Deprivation Index ED 2006 relative
Haase & Pratschke 2013
30 to 75 (2)
20 to 30 (76)
10 to 20 (420)
0 to 10 (1204)
-10 to 0 (1267)
-20 to -10 (317)
-30 to -20 (98)
-50 to -30 (24)
ED-LEVEL
RELATIVE
INDEX SCORES
2011
HP Deprivation Index ED 2011 relative
Haase & Pratschke 2013
30 to 75 (19)
20 to 30 (91)
10 to 20 (368)
0 to 10 (1161)
-10 to 0 (1331)
-20 to -10 (352)
-30 to -20 (76)
-50 to -30 (10)
HP DEPRIVATION SCORES IN COMPARISON, 1991-2011
HP Deprivation Index N Minimum Maximum Mean Std. Deviation
HP 1991 ED absolute 3,409 -28.0 73.3 0.0 10.0
HP 1996 ED absolute 3,409 -27.4 45.7 4.3 9.2
HP 2002 ED absolute 3,409 -30.6 42.1 8.4 9.9
HP 2006 ED absolute 3,409 -35.0 39.9 9.2 9.3
HP 2011 ED absolute 3,409 -43.7 41.6 -1.4 10.1
HP 1991 ED relative 3,409 -28.0 73.3 0.0 10.0
HP 1996 ED relative 3,409 -34.4 45.1 0.0 10.0
HP 2002 ED relative 3,409 -39.4 34.0 0.0 10.0
HP 2006 ED relative 3,409 -47.4 32.9 0.0 10.0
HP 2011 ED relative 3,409 -41.9 42.7 0.0 10.0
THE POBAL HP DEPRIVATION INDEX -
DUBLIN INNER CITY (ED LEVEL)
THE POBAL HP DEPRIVATION INDEX -
DUBLIN INNER CITY (SA LEVEL)
SA-LEVEL
RELATIVE
INDEX SCORES
2011
Relative Index Score 2011
Haase & Pratschke 2012
30 to 50 (30)
20 to 30 (474)
10 to 20 (2412)
0 to 10 (6232)
-10 to 0 (6483)
-20 to -10 (2408)
-30 to -20 (447)
-60 to -30 (2)
 Local development
 Local Community Development Programme (LCDP), RAPID
 Childcare Initiatives, Family Resource Centres, County Development Plans
 Health
 Mortality Studies, Epidemiological Studies, Primary Health Care, Health
Inequality
 Education
 Educational Disadvantage, Higher Education Access Route
 Environment
 National Transport Planning, National Spatial Strategy
 Statistical Methods and Research Design
 Improved Sampling Strategy for CSO Household Surveys
 Social Equality / Inequality (EU-SILC, QNHS, GUI, TILDA, SLAN, NDS)
USING THE POBAL HP DEPRIVATION INDEX
FOR POLICY DESIGN AND IMPACT EVALUATION
LowModerateHigh
AffluentDeprived
SD -3 -2 -1 0 1 2 3
0.1% 2.1% 13.6% 34.1% 34.1% 13.6% 2.1% 0.1%
Health
Risks
HEALTH RISK AND RELATIVE AFFLUENCE / DEPRIVATION
www.trutzhaase.eu

More Related Content

Similar to Pobal hp deprivation index oecd leed 2013

NERI Seminar: Deprivation on the Island of Ireland
NERI Seminar: Deprivation on the Island of IrelandNERI Seminar: Deprivation on the Island of Ireland
NERI Seminar: Deprivation on the Island of IrelandDaragh McCarthy
 
How (not) to make women work?
How (not) to make women work?How (not) to make women work?
How (not) to make women work?GRAPE
 
Innovation support and economic development at the regional level: panel data...
Innovation support and economic development at the regional level: panel data...Innovation support and economic development at the regional level: panel data...
Innovation support and economic development at the regional level: panel data...Jan Huňady
 
OECD Champion Mayors at the Mayors Innovation Studio, CityLab DC 2019
OECD Champion Mayors at the Mayors Innovation Studio, CityLab DC 2019OECD Champion Mayors at the Mayors Innovation Studio, CityLab DC 2019
OECD Champion Mayors at the Mayors Innovation Studio, CityLab DC 2019OECD CFE
 
Ensuring further-success-oecd-economic-survey-australia-2018
Ensuring further-success-oecd-economic-survey-australia-2018Ensuring further-success-oecd-economic-survey-australia-2018
Ensuring further-success-oecd-economic-survey-australia-2018OECD, Economics Department
 
Labour Market Flows in Poland - Did the Determinants Change?
Labour Market Flows in Poland - Did the Determinants Change?Labour Market Flows in Poland - Did the Determinants Change?
Labour Market Flows in Poland - Did the Determinants Change?GRAPE
 
Inclusive growth-in-oecd-countries-challenges-and-policies-november-2018
Inclusive growth-in-oecd-countries-challenges-and-policies-november-2018Inclusive growth-in-oecd-countries-challenges-and-policies-november-2018
Inclusive growth-in-oecd-countries-challenges-and-policies-november-2018OECD, Economics Department
 
The Future of Survey Research March 2017
The Future of Survey Research March 2017The Future of Survey Research March 2017
The Future of Survey Research March 2017SSRS Market Research
 
Divergence in Productivity and Implications for Inclusion
Divergence in Productivity and Implications for InclusionDivergence in Productivity and Implications for Inclusion
Divergence in Productivity and Implications for InclusionStructuralpolicyanalysis
 
Recent labour market developments and reforms in OECD countries
Recent labour market developments and reforms in OECD countriesRecent labour market developments and reforms in OECD countries
Recent labour market developments and reforms in OECD countriesRockwool Fonden
 
Astd 2013 ice presentation tulser
Astd 2013 ice presentation tulserAstd 2013 ice presentation tulser
Astd 2013 ice presentation tulserJos Arets
 
Astd 2013 ice presentation Tulser
Astd 2013 ice presentation TulserAstd 2013 ice presentation Tulser
Astd 2013 ice presentation TulserVivian Heijnen
 
Netherlands 2016 OECD Economic Survey unleashing productivity The Hague 3 March
Netherlands 2016 OECD Economic Survey unleashing productivity The Hague 3 MarchNetherlands 2016 OECD Economic Survey unleashing productivity The Hague 3 March
Netherlands 2016 OECD Economic Survey unleashing productivity The Hague 3 MarchOECD, Economics Department
 
Indian education vs foreign education
Indian education vs foreign educationIndian education vs foreign education
Indian education vs foreign educationRaghvendra Kumar
 
2014_05-21_OECD-ECLAC-PSE EU-LAC Forum_lustig
2014_05-21_OECD-ECLAC-PSE EU-LAC Forum_lustig2014_05-21_OECD-ECLAC-PSE EU-LAC Forum_lustig
2014_05-21_OECD-ECLAC-PSE EU-LAC Forum_lustigOECD_Inclusivegrowth
 
Gender Levers at the State-Market Nexus: Bringing Organizations Back In
Gender Levers at the State-Market Nexus: Bringing Organizations Back InGender Levers at the State-Market Nexus: Bringing Organizations Back In
Gender Levers at the State-Market Nexus: Bringing Organizations Back InTITA research
 

Similar to Pobal hp deprivation index oecd leed 2013 (20)

NERI Seminar: Deprivation on the Island of Ireland
NERI Seminar: Deprivation on the Island of IrelandNERI Seminar: Deprivation on the Island of Ireland
NERI Seminar: Deprivation on the Island of Ireland
 
How (not) to make women work?
How (not) to make women work?How (not) to make women work?
How (not) to make women work?
 
Innovation support and economic development at the regional level: panel data...
Innovation support and economic development at the regional level: panel data...Innovation support and economic development at the regional level: panel data...
Innovation support and economic development at the regional level: panel data...
 
OECD Champion Mayors at the Mayors Innovation Studio, CityLab DC 2019
OECD Champion Mayors at the Mayors Innovation Studio, CityLab DC 2019OECD Champion Mayors at the Mayors Innovation Studio, CityLab DC 2019
OECD Champion Mayors at the Mayors Innovation Studio, CityLab DC 2019
 
Ensuring further-success-oecd-economic-survey-australia-2018
Ensuring further-success-oecd-economic-survey-australia-2018Ensuring further-success-oecd-economic-survey-australia-2018
Ensuring further-success-oecd-economic-survey-australia-2018
 
Labour Market Flows in Poland - Did the Determinants Change?
Labour Market Flows in Poland - Did the Determinants Change?Labour Market Flows in Poland - Did the Determinants Change?
Labour Market Flows in Poland - Did the Determinants Change?
 
Statistical Analysis
Statistical AnalysisStatistical Analysis
Statistical Analysis
 
Inclusive growth-in-oecd-countries-challenges-and-policies-november-2018
Inclusive growth-in-oecd-countries-challenges-and-policies-november-2018Inclusive growth-in-oecd-countries-challenges-and-policies-november-2018
Inclusive growth-in-oecd-countries-challenges-and-policies-november-2018
 
The Future of Survey Research March 2017
The Future of Survey Research March 2017The Future of Survey Research March 2017
The Future of Survey Research March 2017
 
Divergence in Productivity and Implications for Inclusion
Divergence in Productivity and Implications for InclusionDivergence in Productivity and Implications for Inclusion
Divergence in Productivity and Implications for Inclusion
 
Recent labour market developments and reforms in OECD countries
Recent labour market developments and reforms in OECD countriesRecent labour market developments and reforms in OECD countries
Recent labour market developments and reforms in OECD countries
 
Astd 2013 ice presentation tulser
Astd 2013 ice presentation tulserAstd 2013 ice presentation tulser
Astd 2013 ice presentation tulser
 
Astd 2013 ice presentation Tulser
Astd 2013 ice presentation TulserAstd 2013 ice presentation Tulser
Astd 2013 ice presentation Tulser
 
Netherlands 2016 OECD Economic Survey unleashing productivity The Hague 3 March
Netherlands 2016 OECD Economic Survey unleashing productivity The Hague 3 MarchNetherlands 2016 OECD Economic Survey unleashing productivity The Hague 3 March
Netherlands 2016 OECD Economic Survey unleashing productivity The Hague 3 March
 
Indian education vs foreign education
Indian education vs foreign educationIndian education vs foreign education
Indian education vs foreign education
 
19.6.2019, Παρουσίαση Π. Τσακλόγλου στο Συνέδριο "Η Ελλάδα Μετά ΙΙΙ: Η ανασύσ...
19.6.2019, Παρουσίαση Π. Τσακλόγλου στο Συνέδριο "Η Ελλάδα Μετά ΙΙΙ: Η ανασύσ...19.6.2019, Παρουσίαση Π. Τσακλόγλου στο Συνέδριο "Η Ελλάδα Μετά ΙΙΙ: Η ανασύσ...
19.6.2019, Παρουσίαση Π. Τσακλόγλου στο Συνέδριο "Η Ελλάδα Μετά ΙΙΙ: Η ανασύσ...
 
Income redistribution
Income redistributionIncome redistribution
Income redistribution
 
2014_05-21_OECD-ECLAC-PSE EU-LAC Forum_lustig
2014_05-21_OECD-ECLAC-PSE EU-LAC Forum_lustig2014_05-21_OECD-ECLAC-PSE EU-LAC Forum_lustig
2014_05-21_OECD-ECLAC-PSE EU-LAC Forum_lustig
 
Earnings and Spending
Earnings and SpendingEarnings and Spending
Earnings and Spending
 
Gender Levers at the State-Market Nexus: Bringing Organizations Back In
Gender Levers at the State-Market Nexus: Bringing Organizations Back InGender Levers at the State-Market Nexus: Bringing Organizations Back In
Gender Levers at the State-Market Nexus: Bringing Organizations Back In
 

More from Dublinked .

Route to PA Project Meeting Dublinked Presentation 03.12.2015
Route to PA Project Meeting Dublinked Presentation 03.12.2015Route to PA Project Meeting Dublinked Presentation 03.12.2015
Route to PA Project Meeting Dublinked Presentation 03.12.2015Dublinked .
 
Housing Intelligence for Dublin
Housing Intelligence for DublinHousing Intelligence for Dublin
Housing Intelligence for DublinDublinked .
 
Organicity - Co-creating Future Cities
Organicity - Co-creating Future CitiesOrganicity - Co-creating Future Cities
Organicity - Co-creating Future CitiesDublinked .
 
The Local Asset Mapping Project (LAMP)
The Local Asset Mapping Project (LAMP)The Local Asset Mapping Project (LAMP)
The Local Asset Mapping Project (LAMP)Dublinked .
 
The 1911 Census
The 1911 Census The 1911 Census
The 1911 Census Dublinked .
 
Future Skills Needs for Data and Analytics
Future Skills Needs for Data and Analytics Future Skills Needs for Data and Analytics
Future Skills Needs for Data and Analytics Dublinked .
 
Girls Hack Ireland
Girls Hack IrelandGirls Hack Ireland
Girls Hack IrelandDublinked .
 
Dublinked - Celebrating Over Three Years of Open Data for the Dublin Region
Dublinked - Celebrating Over Three Years of Open Data for the Dublin RegionDublinked - Celebrating Over Three Years of Open Data for the Dublin Region
Dublinked - Celebrating Over Three Years of Open Data for the Dublin RegionDublinked .
 
The CSO Open Data Experience
The CSO Open Data ExperienceThe CSO Open Data Experience
The CSO Open Data ExperienceDublinked .
 
Data, Infrastructure and Public Policy
Data, Infrastructure and Public PolicyData, Infrastructure and Public Policy
Data, Infrastructure and Public PolicyDublinked .
 
Startup Ireland and the Startup Gathering 2015
Startup Ireland and the Startup Gathering 2015Startup Ireland and the Startup Gathering 2015
Startup Ireland and the Startup Gathering 2015Dublinked .
 
Catalysing research and enterprise collaboration in the data ecosystem
Catalysing research and enterprise collaboration in the data ecosystemCatalysing research and enterprise collaboration in the data ecosystem
Catalysing research and enterprise collaboration in the data ecosystemDublinked .
 
Open Data StartUp Stories in Ireland
Open Data StartUp Stories in IrelandOpen Data StartUp Stories in Ireland
Open Data StartUp Stories in IrelandDublinked .
 
Roscommon County Council Open Data Portal
Roscommon County Council Open Data Portal Roscommon County Council Open Data Portal
Roscommon County Council Open Data Portal Dublinked .
 
Developing technology solutions for communities
Developing technology solutions for communitiesDeveloping technology solutions for communities
Developing technology solutions for communitiesDublinked .
 
Open Data Ireland: Developing a national open data strategy
Open Data Ireland: Developing a national open data strategyOpen Data Ireland: Developing a national open data strategy
Open Data Ireland: Developing a national open data strategyDublinked .
 
Open Knowledge Ireland
Open Knowledge IrelandOpen Knowledge Ireland
Open Knowledge IrelandDublinked .
 
Data Driven Tranportation Analytics
Data Driven Tranportation Analytics Data Driven Tranportation Analytics
Data Driven Tranportation Analytics Dublinked .
 
The Irish Times Data Blog
The Irish Times Data BlogThe Irish Times Data Blog
The Irish Times Data BlogDublinked .
 
Open Data: an Open and Shut Case?
Open Data: an Open and Shut Case?Open Data: an Open and Shut Case?
Open Data: an Open and Shut Case?Dublinked .
 

More from Dublinked . (20)

Route to PA Project Meeting Dublinked Presentation 03.12.2015
Route to PA Project Meeting Dublinked Presentation 03.12.2015Route to PA Project Meeting Dublinked Presentation 03.12.2015
Route to PA Project Meeting Dublinked Presentation 03.12.2015
 
Housing Intelligence for Dublin
Housing Intelligence for DublinHousing Intelligence for Dublin
Housing Intelligence for Dublin
 
Organicity - Co-creating Future Cities
Organicity - Co-creating Future CitiesOrganicity - Co-creating Future Cities
Organicity - Co-creating Future Cities
 
The Local Asset Mapping Project (LAMP)
The Local Asset Mapping Project (LAMP)The Local Asset Mapping Project (LAMP)
The Local Asset Mapping Project (LAMP)
 
The 1911 Census
The 1911 Census The 1911 Census
The 1911 Census
 
Future Skills Needs for Data and Analytics
Future Skills Needs for Data and Analytics Future Skills Needs for Data and Analytics
Future Skills Needs for Data and Analytics
 
Girls Hack Ireland
Girls Hack IrelandGirls Hack Ireland
Girls Hack Ireland
 
Dublinked - Celebrating Over Three Years of Open Data for the Dublin Region
Dublinked - Celebrating Over Three Years of Open Data for the Dublin RegionDublinked - Celebrating Over Three Years of Open Data for the Dublin Region
Dublinked - Celebrating Over Three Years of Open Data for the Dublin Region
 
The CSO Open Data Experience
The CSO Open Data ExperienceThe CSO Open Data Experience
The CSO Open Data Experience
 
Data, Infrastructure and Public Policy
Data, Infrastructure and Public PolicyData, Infrastructure and Public Policy
Data, Infrastructure and Public Policy
 
Startup Ireland and the Startup Gathering 2015
Startup Ireland and the Startup Gathering 2015Startup Ireland and the Startup Gathering 2015
Startup Ireland and the Startup Gathering 2015
 
Catalysing research and enterprise collaboration in the data ecosystem
Catalysing research and enterprise collaboration in the data ecosystemCatalysing research and enterprise collaboration in the data ecosystem
Catalysing research and enterprise collaboration in the data ecosystem
 
Open Data StartUp Stories in Ireland
Open Data StartUp Stories in IrelandOpen Data StartUp Stories in Ireland
Open Data StartUp Stories in Ireland
 
Roscommon County Council Open Data Portal
Roscommon County Council Open Data Portal Roscommon County Council Open Data Portal
Roscommon County Council Open Data Portal
 
Developing technology solutions for communities
Developing technology solutions for communitiesDeveloping technology solutions for communities
Developing technology solutions for communities
 
Open Data Ireland: Developing a national open data strategy
Open Data Ireland: Developing a national open data strategyOpen Data Ireland: Developing a national open data strategy
Open Data Ireland: Developing a national open data strategy
 
Open Knowledge Ireland
Open Knowledge IrelandOpen Knowledge Ireland
Open Knowledge Ireland
 
Data Driven Tranportation Analytics
Data Driven Tranportation Analytics Data Driven Tranportation Analytics
Data Driven Tranportation Analytics
 
The Irish Times Data Blog
The Irish Times Data BlogThe Irish Times Data Blog
The Irish Times Data Blog
 
Open Data: an Open and Shut Case?
Open Data: an Open and Shut Case?Open Data: an Open and Shut Case?
Open Data: an Open and Shut Case?
 

Recently uploaded

Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Paola De la Torre
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
Developing An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilDeveloping An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilV3cube
 
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...gurkirankumar98700
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024The Digital Insurer
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slidespraypatel2
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 

Recently uploaded (20)

Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
Developing An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilDeveloping An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of Brazil
 
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 

Pobal hp deprivation index oecd leed 2013

  • 1. Trutz Haase THE POBAL HP DEPRIVATION INDEX Workshop G: Data for Policy Design and Impact Assessment OECD LEED Conference on Implementing Change: A New Local Agenda for Jobs and Growth, Dublin - Kilkenny, 26-27 March 2013
  • 2. THE 2011 POBAL HP DEPRIVATION INDEX The purpose of this presentation is • to provide an overview of the conceptual components which underlie the Pobal HP Deprivation Index, • to provide an overview of the changes in absolute and relative deprivation between 1991 and 2011, and • to draw out the Index’ relevance for policy design and impact assessment.
  • 3.  Relative Poverty “People are living in poverty if their income and resources (material, cultural and social) are so inadequate as to preclude them from having a standard of living which is regarded as acceptable by Irish society generally.” (Government of Ireland, NAPS, 1997)  Relative Deprivation “The fundamental implication of the term deprivation is of an absence – of essential or desirable attributes, possessions and opportunities which are considered no more than the minimum by that society.” (Coombes et al., DoE – UK, 1995) A COMPREHENSIVE DEFINITION OF POVERTY
  • 4.  EFA is essentially an exploratory technique; .i.e. data-driven  all variables load on all factors  the structure matrix is the (accidental) outcome of the variables available  EFA cannot be used to compare outcomes over time V1 V2 V3 V4 V5 V6 F1 F2  Ordinary Factor Analysis (EFA) reduces variables to a smaller number of underlying Dimensions or Factors TRADITIONAL APPROACH: EXPLORATORY FACTOR ANALYSIS (EFA)
  • 5.  CFA requires a strong theoretical justification before the model is specified  the researcher decides which of the observed variables are to be associated with which of the latent constructs  variables are conceptualised as the imperfect manifestations of the latent concepts  CFA model allows the comparison of outcomes over time  CFA facilitates the objective evaluation of the quality of the model through fit statistics V1 V2 V3 V4 V5 V6 L1 L2  Confirmatory Factor Analysis also reduces observations to the underlying Factors, however 1 2 3 4 5 6 NEW APPROACH: CONFIRMATORY FACTOR ANALYSIS (CFA)
  • 6.  Demographic Decline (predominantly rural)  population loss and the social and demographic effects of emigration (age dependency, low education of adult population)  Social Class Deprivation (applying in rural and urban areas)  social class composition, education, housing quality  Labour Market Deprivation (predominantly urban)  unemployment, lone parents, low skills base THE UNDERLYING DIMENSIONS OF SOCIAL DISADVANTAGE
  • 7. Age Dependency Rate1 PopulationChange 2 PrimaryEducationonly3 Third Level Education4 ProfessionalClasses 5 Persons per Room 6 Lone Parents 7 Semi- and UnskilledClasses 8 Male UnemploymentRate9 Female UnemploymentRate10 Demographic Growth Social Class Composition Labour Market Situation THE BASIC MODEL OF THE SA-LEVEL POBAL HP DEPRIVATION INDEX
  • 8. most disadvantaged most affluent marginally below the average marginally above the average disadvantaged affluent very disadvantaged very affluent extremely disadvantaged extremely affluent MAPPING DEPRIVATION
  • 9. ED-LEVEL ABSOLUTE INDEX SCORES 1991 HP Deprivation Index ED 1991 absolute Haase & Pratschke 2013 30 to 75 (53) 20 to 30 (79) 10 to 20 (252) 0 to 10 (1184) -10 to 0 (1431) -20 to -10 (360) -30 to -20 (49)
  • 10. ED-LEVEL ABSOLUTE INDEX SCORES 1996 HP Deprivation Index ED 1996 absolute Haase & Pratschke 2013 30 to 75 (52) 20 to 30 (133) 10 to 20 (562) 0 to 10 (1625) -10 to 0 (875) -20 to -10 (151) -30 to -20 (10)
  • 11. ED-LEVEL ABSOLUTE INDEX SCORES 2002 HP Deprivation Index ED 2002 absolute Haase & Pratschke 2013 30 to 75 (77) 20 to 30 (314) 10 to 20 (1021) 0 to 10 (1440) -10 to 0 (436) -20 to -10 (103) -30 to -20 (16) -50 to -30 (1)
  • 12. ED-LEVEL ABSOLUTE INDEX SCORES 2006 HP Deprivation Index ED 2006 absolute Haase & Pratschke 2013 30 to 75 (55) 20 to 30 (314) 10 to 20 (1201) 0 to 10 (1385) -10 to 0 (341) -20 to -10 (93) -30 to -20 (18) -50 to -30 (1)
  • 13. ED-LEVEL ABSOLUTE INDEX SCORES 2011 HP Deprivation Index ED2011 absolute Haase & Pratschke 2013 30 to 75 (14) 20 to 30 (82) 10 to 20 (296) 0 to 10 (1026) -10 to 0 (1414) -20 to -10 (460) -30 to -20 (98) -50 to -30 (18)
  • 14. ED-LEVEL RELATIVE INDEX SCORES 1991 HP Deprivation Index ED 1991 relative Haase & Pratschke 2013 30 to 75 (53) 20 to 30 (79) 10 to 20 (252) 0 to 10 (1184) -10 to 0 (1431) -20 to -10 (360) -30 to -20 (49)
  • 15. ED-LEVEL RELATIVE INDEX SCORES 1996 HP Deprivation Index ED 1996 relative Haase & Pratschke 2013 30 to 75 (37) 20 to 30 (100) 10 to 20 (325) 0 to 10 (1112) -10 to 0 (1390) -20 to -10 (375) -30 to -20 (66) -50 to -30 (3)
  • 16. ED-LEVEL RELATIVE INDEX SCORES 2002 HP Deprivation Index ED 2002 relative Haase & Pratschke 2013 30 to 75 (11) 20 to 30 (86) 10 to 20 (406) 0 to 10 (1125) -10 to 0 (1333) -20 to -10 (346) -30 to -20 (91) -50 to -30 (10)
  • 17. ED-LEVEL RELATIVE INDEX SCORES 2006 HP Deprivation Index ED 2006 relative Haase & Pratschke 2013 30 to 75 (2) 20 to 30 (76) 10 to 20 (420) 0 to 10 (1204) -10 to 0 (1267) -20 to -10 (317) -30 to -20 (98) -50 to -30 (24)
  • 18. ED-LEVEL RELATIVE INDEX SCORES 2011 HP Deprivation Index ED 2011 relative Haase & Pratschke 2013 30 to 75 (19) 20 to 30 (91) 10 to 20 (368) 0 to 10 (1161) -10 to 0 (1331) -20 to -10 (352) -30 to -20 (76) -50 to -30 (10)
  • 19. HP DEPRIVATION SCORES IN COMPARISON, 1991-2011 HP Deprivation Index N Minimum Maximum Mean Std. Deviation HP 1991 ED absolute 3,409 -28.0 73.3 0.0 10.0 HP 1996 ED absolute 3,409 -27.4 45.7 4.3 9.2 HP 2002 ED absolute 3,409 -30.6 42.1 8.4 9.9 HP 2006 ED absolute 3,409 -35.0 39.9 9.2 9.3 HP 2011 ED absolute 3,409 -43.7 41.6 -1.4 10.1 HP 1991 ED relative 3,409 -28.0 73.3 0.0 10.0 HP 1996 ED relative 3,409 -34.4 45.1 0.0 10.0 HP 2002 ED relative 3,409 -39.4 34.0 0.0 10.0 HP 2006 ED relative 3,409 -47.4 32.9 0.0 10.0 HP 2011 ED relative 3,409 -41.9 42.7 0.0 10.0
  • 20. THE POBAL HP DEPRIVATION INDEX - DUBLIN INNER CITY (ED LEVEL)
  • 21. THE POBAL HP DEPRIVATION INDEX - DUBLIN INNER CITY (SA LEVEL)
  • 22. SA-LEVEL RELATIVE INDEX SCORES 2011 Relative Index Score 2011 Haase & Pratschke 2012 30 to 50 (30) 20 to 30 (474) 10 to 20 (2412) 0 to 10 (6232) -10 to 0 (6483) -20 to -10 (2408) -30 to -20 (447) -60 to -30 (2)
  • 23.  Local development  Local Community Development Programme (LCDP), RAPID  Childcare Initiatives, Family Resource Centres, County Development Plans  Health  Mortality Studies, Epidemiological Studies, Primary Health Care, Health Inequality  Education  Educational Disadvantage, Higher Education Access Route  Environment  National Transport Planning, National Spatial Strategy  Statistical Methods and Research Design  Improved Sampling Strategy for CSO Household Surveys  Social Equality / Inequality (EU-SILC, QNHS, GUI, TILDA, SLAN, NDS) USING THE POBAL HP DEPRIVATION INDEX FOR POLICY DESIGN AND IMPACT EVALUATION
  • 24. LowModerateHigh AffluentDeprived SD -3 -2 -1 0 1 2 3 0.1% 2.1% 13.6% 34.1% 34.1% 13.6% 2.1% 0.1% Health Risks HEALTH RISK AND RELATIVE AFFLUENCE / DEPRIVATION