Tesi etd-11192018-180121
Link copiato negli appunti
Tipo di tesi
Corsi integrativi di II livello
Autore
PERTOSA, SAVERIO PIO
URN
etd-11192018-180121
Titolo
EBLUP Area-level methods for estimating poverty at local level
Struttura
Cl. Sc. Sociali - Scienze Economiche
Corso di studi
SCIENZE ECONOMICHE E MANAGERIALI - Economics (DM 270)
Commissione
Membro ROMANO, MARIA FRANCESCA
Presidente Prof. NUVOLARI, ALESSANDRO
Membro Prof. BOTTAZZI, GIULIO
Membro Prof. CINQUINI, LINO
Membro Prof. MONETA, ALESSIO
Relatore Prof.ssa PORCIANI, LINDA
Presidente Prof. NUVOLARI, ALESSANDRO
Membro Prof. BOTTAZZI, GIULIO
Membro Prof. CINQUINI, LINO
Membro Prof. MONETA, ALESSIO
Relatore Prof.ssa PORCIANI, LINDA
Parole chiave
- Nessuna parola chiave trovata
Data inizio appello
12/12/2018;
Disponibilità
completa
Riassunto analitico
The paper shows how the joint use of sample surveys - such as the Survey on Income and Living Conditions (EU-SILC) - Census data, Tax declarations, and indices of social capital, can be useful to estimate poverty at the provincial level, within a Fay-Herriot framework of analysis.
I show that transfers have a huge impact in addressing the issue of poverty, but - as stated by Okun - they may create market distortions.
I review survey methodologies for data employed within the models. Four Fay-Herriot analyses are implemented, to show how social transfers affect poverty and how regional poverty lines give rise to non-inflated results. I discuss the robustness of results through an analysis of the distribution of residuals and the area effects by implementing a statistical test.
In the end, both statistical and political conclusions are drawn. The appendix shows why a good survey design is crucial when dealing with Paretian variables, such as income, in our "pre-asymptotic" world.
I show that transfers have a huge impact in addressing the issue of poverty, but - as stated by Okun - they may create market distortions.
I review survey methodologies for data employed within the models. Four Fay-Herriot analyses are implemented, to show how social transfers affect poverty and how regional poverty lines give rise to non-inflated results. I discuss the robustness of results through an analysis of the distribution of residuals and the area effects by implementing a statistical test.
In the end, both statistical and political conclusions are drawn. The appendix shows why a good survey design is crucial when dealing with Paretian variables, such as income, in our "pre-asymptotic" world.
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