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EU – FP7 - SSH-2007-1 Grant Agreement no 217565 1 S.A.M.P.L.E. Small Area Methods for Poverty and Living condition Estimates Brussels, 24 february 2011 Michela Casarosa, Province of Pisa Research for evidence policy-making: the role of a Public Administration in Sample project

S.A.M.P.L.E . S mall A rea M ethods for P overty and L iving condition E stimates

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S.A.M.P.L.E . S mall A rea M ethods for P overty and L iving condition E stimates. Brussels, 24 february 2011. Research for evidence policy-making: the role of a Public Administration in Sample project. Michela Casarosa, Province of Pisa. The province of Pisa. TUSCANY REGION. - PowerPoint PPT Presentation

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Page 1: S.A.M.P.L.E . S mall  A rea  M ethods for P overty and  L iving condition  E stimates

EU – FP7 - SSH-2007-1Grant Agreement no 217565

1

S.A.M.P.L.E.Small Area Methods for

Poverty and Living condition Estimates

Brussels, 24 february 2011

Michela Casarosa, Province of Pisa

Research for evidence policy-making: the role of a Public Administration in Sample project

Page 2: S.A.M.P.L.E . S mall  A rea  M ethods for P overty and  L iving condition  E stimates

The province of Pisa

TUSCANY REGION

39 MUNICIPALITIES (LAU2)

PROVINCE OF PISA (LAU1)

2 Provincial Offices involved in Sample Project The Provincial Social Observatory The European Policies and International Affairs Office

5 HEALTH’S SOCIETIES

Page 3: S.A.M.P.L.E . S mall  A rea  M ethods for P overty and  L iving condition  E stimates

The Provincial Social Observatory

Annual Social Statistical BASE (data on demography, families, housing, justice, social assistance, third sector)Local SURVEY (gender violence, young people, immigrants, security)

INVOLVEMENT of local Public Administration and third sector organisations

NETWORK of 10 Provincial Observatories (health’s profile indicators)

MONITORING SOCIAL

PHENOMENA

PARTICIPATORY APPROACH

REGIONAL NETWORK

Page 4: S.A.M.P.L.E . S mall  A rea  M ethods for P overty and  L iving condition  E stimates

Why Sample Project…

The lackness of poverty data at small area

The need to compare our experience at european level

The increasing relevance of poverty in our public social expenditure

10,7

17,320,6

16,9

0,62,1

54,2

44,3

3,6 3,25,0

12,3

5,3 4,0

-

10,0

20,0

30,0

40,0

50,0

60,0

Family andminors

Disability Dependences Elders Immigrants Poverty andadults

discomfort

Other users

Composition of Social Expenditure (2007, 2009)

2007

2009

Page 5: S.A.M.P.L.E . S mall  A rea  M ethods for P overty and  L iving condition  E stimates

The value added of a Public Administration in a research project

A better finalization of the research to the NEEDS of POLICYMAKERS

The knowledge of the TERRITORY

The contact with local public and third sector ORGANIZATIONS

The possibility to have access to administrative DATABASES

Page 6: S.A.M.P.L.E . S mall  A rea  M ethods for P overty and  L iving condition  E stimates

Our main findings

Acquisition of administrative and third sector DATABASES

Selection of poverty INDICATORS

more relevant for policy planning

The construction of the

Provincial Social OBSERVATORY

•Caritas database•Job center’s database•Revenue Agency database

•Indicators of Tuscany Region•Stakeholders Indicators

•Agreement with Caritas•Network of 252 stakeholders

Page 7: S.A.M.P.L.E . S mall  A rea  M ethods for P overty and  L iving condition  E stimates

Regional Indicators

First list of 300 indicators

Meeting with referents of Health’s Societies

Last list of 250 indicators

INDICATORS FOR HEALTH’S PROFILE

1. Demographic profile

2. Health’s determinants

3. Health state

4. Essential levels of sanitary

assistance

6. Social and sanitary assistance

2 objectivs:policies planning (health’s profile ex ante) policies evaluation (health’s profile ex post)

Page 8: S.A.M.P.L.E . S mall  A rea  M ethods for P overty and  L iving condition  E stimates

Some examples from regional indicators

1) DEMOGRAPHY – Indicators about: age structure, population composition

5) SOCIAL AND SANITARY ASSISTANCE – Indicators about: social expenditure distribution, assistance to persons in social distress

4) ESSENTIAL LEVEL OF SANITARY ASSISTANCE – Indicators about: hospitalization, medical screening

2) HEALTH’S DETERMINANTS – Indicators about: revenue, employment, lifestyle, ambient

3) HEALTH STATE – Indicators about: mortality (per age, typology, etc.), iIlness

Page 9: S.A.M.P.L.E . S mall  A rea  M ethods for P overty and  L iving condition  E stimates

Indicators proposals by stakeholders

An important aim of Sample project: to achieve the POINT OF VIEW of local stakeholders on the relevance of indicators

The instrument: a SURVEY

The list of stakeholders: selection of 690 organizations

The RESPONDENTS: 252 stakeholders

Page 10: S.A.M.P.L.E . S mall  A rea  M ethods for P overty and  L iving condition  E stimates

The questions

10

Local stakeholders

Do they judge indicators relevant

for policies planning?

Do they judge indicators relevant for

their activity?

Do they know Laeken

indicators?

Do they know EU-SILC indicators?

•Public Administrations (37,2%)•Associations (42,2%)•Parishes and Caritas Counselling Centers (10,3%)•Social Cooperatives (9,3%)

Page 11: S.A.M.P.L.E . S mall  A rea  M ethods for P overty and  L iving condition  E stimates

Quickly…other aims of the survey

1) Achieving stakeholders’ PERCEPTION of poverty level in their territory

2) Knowing stakeholders’ INFORMATION SYSTEM

3) Knowing their interest and their OPINION about: The construction of a POVERTY OBSERVATORY The Creation of a WEB PORTAL The usefulness of activities for the

EMPOWERMENT of stakeholders NETWORK (meeting, training, etc)

Page 12: S.A.M.P.L.E . S mall  A rea  M ethods for P overty and  L iving condition  E stimates

Results: relevance of indicators

0

50

100

150

200

250

300

350

400

450

500

Level ofunemployment

Income inequality Hardship housing Quality of housing Income School drop-out State of health

Ind

ex

Page 13: S.A.M.P.L.E . S mall  A rea  M ethods for P overty and  L iving condition  E stimates

Results: proposal of new indicatorsIndicatore VA %

Debt 65 35,9Quality of food 27 14,9Quality of housing 15 8,3Capability to access to services 12 6,6Social network 12 6,6Family hardship 8 4,4Lifestyles 8 4,4I llegal work 5 2,8Instruction-Education 5 2,8Unemployment 4 2,2Not Self Sufficiency 4 2,2Dependences 5 2,8Income 3 1,7State of health 3 1,7Crisis of value system 2 1,1Gender (female) or status (immigrants) 3 1,7Total 181 100

Page 14: S.A.M.P.L.E . S mall  A rea  M ethods for P overty and  L iving condition  E stimates

Results: opinion about proposals

5,5 94,4

13,5 84,8

13,3 85,5

10,2 89,1

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Observation System tomonitor poverty,

vulnerability and socialexclusion

Portal web

Strenghten ofstakeholders network

Strenghten of counsellingcenters and front offices

Opinion about the usefulness of some instrumentsNot useful

Not veryusefulUseful

Page 15: S.A.M.P.L.E . S mall  A rea  M ethods for P overty and  L iving condition  E stimates

Toward a knowledge-based planning

Data and indicators

Sample Software

A simple visualization of data and indicators

useful for planning

Free distribution to other Public Administration

Our involvement in the building of the software

Page 16: S.A.M.P.L.E . S mall  A rea  M ethods for P overty and  L iving condition  E stimates

Thanks for your attention!

Contact:Michela Casarosa

[email protected]://www.provincia.pisa.it