Add to ORKGnone3nononeSilvia De Nicolò, Maria Rosaria Ferrante, Silvia PaceiSilvia De Nicolò, Maria Rosaria Ferrante, Silvia Pace
The aim of this thesis is the study of small area estimation methods under outcome-dependent samplin...
Small area estimation techniques have got a lot of attention during the last decades due to their im...
Variance estimation for complex indicators of poverty and inequality using linearization technique
none2nononePacei, Silvia; Ferrante, Maria Rosaria;Pacei, Silvia; Ferrante, Maria Rosaria
This paper intends to propose a small area estimation strategy for Atkinson inequality measures. Cl...
none3mixedFabrizi E.; M. R. Ferrante; C. Trivisano;Fabrizi E.; M. R. Ferrante; C. Trivisano
In order to estimate inequality measures at local level, small area estimation methods may be used t...
The chapter is about the small area estimation of inequality measures by means of the M-quantile app...
Small area statistics on economic inequality are becoming important for better planning public regio...
Economic inequalities referring to specific regions are crucial in deepening spatial heterogeneity. ...
Small area estimation is receiving considerable attention due to the high demand for small area stat...
Economic inequalities referring to specific regions are crucial in deepening spatial heterogeneity. ...
This article focuses on the problem of dealing with aggregate data. It proposes an innovative method...
Measures of economic well-being are often needed for geographically small areas, as economic indicat...
We propose to estimate non-linear small area population quantities by using Empirical Best (EB) est...
The aim of this thesis is the study of small area estimation methods under outcome-dependent samplin...
Small area estimation techniques have got a lot of attention during the last decades due to their im...
Variance estimation for complex indicators of poverty and inequality using linearization technique
none2nononePacei, Silvia; Ferrante, Maria Rosaria;Pacei, Silvia; Ferrante, Maria Rosaria
This paper intends to propose a small area estimation strategy for Atkinson inequality measures. Cl...
none3mixedFabrizi E.; M. R. Ferrante; C. Trivisano;Fabrizi E.; M. R. Ferrante; C. Trivisano
In order to estimate inequality measures at local level, small area estimation methods may be used t...
The chapter is about the small area estimation of inequality measures by means of the M-quantile app...
Small area statistics on economic inequality are becoming important for better planning public regio...
Economic inequalities referring to specific regions are crucial in deepening spatial heterogeneity. ...
Small area estimation is receiving considerable attention due to the high demand for small area stat...
Economic inequalities referring to specific regions are crucial in deepening spatial heterogeneity. ...
This article focuses on the problem of dealing with aggregate data. It proposes an innovative method...
Measures of economic well-being are often needed for geographically small areas, as economic indicat...
We propose to estimate non-linear small area population quantities by using Empirical Best (EB) est...
The aim of this thesis is the study of small area estimation methods under outcome-dependent samplin...
Small area estimation techniques have got a lot of attention during the last decades due to their im...
Variance estimation for complex indicators of poverty and inequality using linearization technique