SAMPLE
Small Area Methods for Poverty and Living Condition Estimates
| Coordinatore | UNIVERSITA DI PISA
Organization address
address: Lungarno Pacinotti 43/44 contact info |
| Nazionalità Coordinatore | Italy [IT] |
| Totale costo | 953˙322 € |
| EC contributo | 774˙972 € |
| Programma | FP7-SSH
Specific Programme "Cooperation": Socio-economic Sciences and Humanities |
| Code Call | FP7-SSH-2007-1 |
| Funding Scheme | CP-FP |
| Anno di inizio | 2008 |
| Periodo (anno-mese-giorno) | 2008-03-01 - 2011-02-28 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
UNIVERSITA DI PISA
Organization address
address: Lungarno Pacinotti 43/44 contact info |
IT (PISA) | coordinator | 203˙888.00 |
| 2 |
PROVINCIA DI PISA
Organization address
address: P.ZZA VITTORIO EMANUELE II N. 14 contact info |
IT (PISA) | participant | 129˙109.00 |
| 3 |
SIMURG CONSULENZE E SERVIZI DI MIRANI DANIELE SALVUCCI CLAUDIO E TOIGOMORENO SNC
Organization address
address: VIA SANSONI EUGENIO 13 contact info |
IT (Livorno) | participant | 84˙809.00 |
| 4 |
UNIVERSIDAD MIGUEL HERNANDEZ DE ELCHE
Organization address
address: AVENIDA DE LA UNIVERSIDAD S/N contact info |
ES (ELCHE) | participant | 78˙094.00 |
| 5 |
UNIVERSIDAD CARLOS III DE MADRID
Organization address
address: CALLE MADRID 126 contact info |
ES (GETAFE (MADRID)) | participant | 66˙364.00 |
| 6 |
UNIVERSITA' DEGLI STUDI DI SIENA
Organization address
address: VIA BANCHI DI SOTTO 55 contact info |
IT (SIENA) | participant | 62˙603.00 |
| 7 |
SZKOLA GLOWNA HANDLOWA W WARSZAWIE
Organization address
address: AL NIEPODLEGLOSCI 162 contact info |
PL (WARSZAWA) | participant | 61˙016.00 |
| 8 |
UNIVERSITY OF SOUTHAMPTON
Organization address
address: Highfield contact info |
UK (SOUTHAMPTON) | participant | 32˙026.00 |
| 9 |
CENTRUM EDUKACJI STATYSTYCZNEJ
Organization address
address: Jachranka 81 contact info |
PL (Serock k. Warszawy) | participant | 28˙611.00 |
| 10 |
THE UNIVERSITY OF MANCHESTER
Organization address
address: OXFORD ROAD contact info |
UK (MANCHESTER) | participant | 28˙452.00 |
Mappa
Word cloud
Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.
Obiettivo del progetto (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.'
Introduzione (Teaser)
Reliable statistics are essential for the EU's poverty-reduction strategies. Although extensive data exist at the national level, the picture becomes less clear on careful inspection. An EU-backed project developed indicators to measure poverty at the local level.
Descrizione progetto (Article)
Tackling poverty requires reliable, accurate and timely statistics. However, although high-quality data is available at the national level in Europe, it often happens that the finer the required spatial detail, the more blurred the resolution. This is a major challenge for local authorities and other stakeholders.
Financed by the Seventh Framework Programme (FP7), the 'Small area methods for poverty and living condition estimates' (SAMPLE) project sought to identify and develop new indicators and models for measuring inequality and poverty locally.
To achieve this, the project combined data from national surveys with data extracted from local administrative databases. This included information on benefit claimants and also involved the mining of data held by non-governmental organisations.
SAMPLE utilised widely used indicators on monetary and non-monetary poverty. Moreover, in collaboration with stakeholders working with the poor, the project developed new poverty indicators that meet local needs.
The results of the SAMPLE project will help local authorities and stakeholders to plan and implement their poverty-reduction policies. In fact, more than two thirds of stakeholders surveyed said that these local indicators would prove very useful in the planning of social policies.