The estimation and dissemination of poverty, inequality and life condi- tion indicators all over the European Union has become one topic of primary inter- est. Particularly a core set of statistical indicators on poverty and social exclusion agreed by the Laeken European Council in December 2001 are a very common tar- get. They include measures of the incidence of poverty, such as the Head Count Ratio (also known as at-risk-of-poverty-rate) and on the intensity of poverty, as the Poverty Gap. Unfortunately they cannot be directly estimated from EU-SILC sur- vey data when the objective is to investigate poverty at sub-regional level. As local sample size is small, the estimation must be done using the small area estimation approach. Limits and potentialities of the estimators of Laeken indicators obtained under EBLUP and M-quantile small area estimation approaches are discussed here, as well as their application to EU-SILC Italian data. The case study is limited to the poverty indicators for the Tuscany region. However additional results are avail- able and downloadable from the SAMPLE project web site funded under the 7FP (http://www.sample-project.eu).
Small Area Estimation of Poverty Indicators
PRATESI, MONICA;GIUSTI, CATERINA;MARCHETTI, STEFANO
2012-01-01
Abstract
The estimation and dissemination of poverty, inequality and life condi- tion indicators all over the European Union has become one topic of primary inter- est. Particularly a core set of statistical indicators on poverty and social exclusion agreed by the Laeken European Council in December 2001 are a very common tar- get. They include measures of the incidence of poverty, such as the Head Count Ratio (also known as at-risk-of-poverty-rate) and on the intensity of poverty, as the Poverty Gap. Unfortunately they cannot be directly estimated from EU-SILC sur- vey data when the objective is to investigate poverty at sub-regional level. As local sample size is small, the estimation must be done using the small area estimation approach. Limits and potentialities of the estimators of Laeken indicators obtained under EBLUP and M-quantile small area estimation approaches are discussed here, as well as their application to EU-SILC Italian data. The case study is limited to the poverty indicators for the Tuscany region. However additional results are avail- able and downloadable from the SAMPLE project web site funded under the 7FP (http://www.sample-project.eu).I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
