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Tesi etd-11192018-180121

Type of thesis
Corsi integrativi di II livello
Author
PERTOSA, SAVERIO PIO
URN
etd-11192018-180121
Title
EBLUP Area-level methods for estimating poverty at local level
Structure
Cl. Sc. Sociali - Scienze Economiche
Course
SCIENZE ECONOMICHE E MANAGERIALI - Economics (DM 270)
Committee
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
Keywords
  • Nessuna parola chiave trovata
Exam session start date
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Availability
parziale
Abstract
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.<br>I show that transfers have a huge impact in addressing the issue of poverty, but - as stated by Okun - they may create market distortions.<br>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.<br>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 &#34;pre-asymptotic&#34; world.
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