CORDIS
EU research results

CORDIS

English EN

Small Area Methods for Poverty and Living Condition Estimates

Project information

Grant agreement ID: 217565

Status

Closed project

  • Start date

    1 March 2008

  • End date

    28 February 2011

Funded under:

FP7-SSH

  • Overall budget:

    € 953 322,40

  • EU contribution

    € 774 972

Coordinated by:

UNIVERSITA DI PISA

Italy

Objective

It is well known that in order to ensure a good allocation of public funds and to guarantee the rights of final users of the statistics (government, research institutes and citizens) statistical data on monetary and supplementary poverty indicators have to be timely and effective. Effectiveness of statistical data is a function of their spatial relevance and accuracy. Often official data are referred only to wider domains (e.g. NUTS 2 level) and, sometimes, the finer is the required spatial detail (NUTS3, NUTS4 level) the less accurate is the estimate. Local Government has to know accurate data referred to local areas and/or small domains (NUTS3, NUTS4 level) to 1) ensure monitoring of Poverty and inequality; 2) focus on special targets consisting of segments of population at higher risk of poverty (elusive populations) 3) appreciate the multidimensional nature of poverty and inequality with attention to the non monetary aspects of it (social exclusion and deprivation) 4) measure the subjective aspects of poverty as they are perceived by local groups and populations. The aim of S.A.M.P.L.E. project is to identify and develop new indicators and models for inequality and poverty with attention to social exclusion and deprivation, as well as to develop, implement models, measures and procedures for small area estimation of the traditional and new indicators and models. This goal is achieved with the help of the local administrative databases. Local government agencies often have huge amount of administrative data to monitory some of the actions which witness situations of social exclusion and deprivation (social security claims for unemployment and eligibility for benefits from any of the programs Social Security administers) of households and citizens.
Leaflet | Map data © OpenStreetMap contributors, Credit: EC-GISCO, © EuroGeographics for the administrative boundaries

Coordinator

UNIVERSITA DI PISA

Address

Lungarno Pacinotti 43/44
56126 Pisa

Italy

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 203 888

Administrative Contact

Monica Pratesi (Prof.)

Participants (9)

UNIVERSITA DEGLI STUDI DI SIENA

Italy

EU Contribution

€ 62 603

THE UNIVERSITY OF MANCHESTER

United Kingdom

EU Contribution

€ 28 452

UNIVERSIDAD CARLOS III DE MADRID

Spain

EU Contribution

€ 66 364

UNIVERSIDAD MIGUEL HERNANDEZ DE ELCHE

Spain

EU Contribution

€ 78 094

SZKOLA GLOWNA HANDLOWA W WARSZAWIE

Poland

EU Contribution

€ 61 016

PROVINCIA DI PISA

Italy

EU Contribution

€ 129 109

SIMURG CONSULENZE E SERVIZI DI MIRANI DANIELE SALVUCCI CLAUDIO E TOIGOMORENO SNC

Italy

EU Contribution

€ 84 809

CENTRUM EDUKACJI STATYSTYCZNEJ

Poland

EU Contribution

€ 28 611

UNIVERSITY OF SOUTHAMPTON

United Kingdom

EU Contribution

€ 32 026

Project information

Grant agreement ID: 217565

Status

Closed project

  • Start date

    1 March 2008

  • End date

    28 February 2011

Funded under:

FP7-SSH

  • Overall budget:

    € 953 322,40

  • EU contribution

    € 774 972

Coordinated by:

UNIVERSITA DI PISA

Italy