Measures of economic well-being are often needed for geographically small areas, as economic indicators may be distributed unevenly among the subsets of relatively small regions. We consider small area estimation of average equivalized income. Disposable household income data are usually available only for a sample of households, typically too small to provide reliable estimates for small regions. We consider a small area estimation technique that is robust to outliers, produces results consistent with design weighted estimates obtained for larger areas and yield maps with approximately no shrinkage. The proposed methodology is applied to the Local Labour Systems in Tuscany (Italy)
In this chapter, we used EU-SILC data, Income Tax Office data and Population Census data to estimate...
© The Author(s) 2019. Small area estimation (SAE) plays a crucial role in the social sciences due to...
The present paper proposes a statistical strategy for the analysis of regional disparities in income...
Measuresofeconomicwell-beingareoftenneededforgeographicallysmallareas,as economic indicators may be ...
In order to estimate inequality measures at local level, small area estimation methods may be used t...
Small area estimation is receiving considerable attention due to the high demand for small area stat...
Sample survey data are broadly used to provide direct estimates of poverty for the whole population ...
In order to implement policies against poverty and inequality, policy makers all over Europe should ...
The availability of reliable estimates of income distribution parameters at a sub-national level is ...
Available data to measure poverty and living conditions in Italy come mainly from sample surveys, su...
This paper examines the performance of small area welfare estimation. The method combines census and...
Small area statistics on economic inequality are becoming important for better planning public regio...
The European Community Household Panel (ECHP) is a panel survey covering a wide range of topics rega...
"There has been rising interest in research on poverty mapping over the last decade, with the Europe...
none3noWe consider the estimation of the relative median poverty gap (RMPG) at the level of Italian ...
In this chapter, we used EU-SILC data, Income Tax Office data and Population Census data to estimate...
© The Author(s) 2019. Small area estimation (SAE) plays a crucial role in the social sciences due to...
The present paper proposes a statistical strategy for the analysis of regional disparities in income...
Measuresofeconomicwell-beingareoftenneededforgeographicallysmallareas,as economic indicators may be ...
In order to estimate inequality measures at local level, small area estimation methods may be used t...
Small area estimation is receiving considerable attention due to the high demand for small area stat...
Sample survey data are broadly used to provide direct estimates of poverty for the whole population ...
In order to implement policies against poverty and inequality, policy makers all over Europe should ...
The availability of reliable estimates of income distribution parameters at a sub-national level is ...
Available data to measure poverty and living conditions in Italy come mainly from sample surveys, su...
This paper examines the performance of small area welfare estimation. The method combines census and...
Small area statistics on economic inequality are becoming important for better planning public regio...
The European Community Household Panel (ECHP) is a panel survey covering a wide range of topics rega...
"There has been rising interest in research on poverty mapping over the last decade, with the Europe...
none3noWe consider the estimation of the relative median poverty gap (RMPG) at the level of Italian ...
In this chapter, we used EU-SILC data, Income Tax Office data and Population Census data to estimate...
© The Author(s) 2019. Small area estimation (SAE) plays a crucial role in the social sciences due to...
The present paper proposes a statistical strategy for the analysis of regional disparities in income...