ETD

Archivio digitale delle tesi discusse presso l'Università di Pisa

Tesi etd-09212019-231425


Tipo di tesi
Tesi di laurea magistrale
Autore
TRAN, THI THANH HUONG
URN
etd-09212019-231425
Titolo
The methodology for demographic estimation in small priority areas Case study: Demographic estimation in small disadvantaged priority area in France
Dipartimento
ECONOMIA E MANAGEMENT
Corso di studi
ECONOMICS
Relatori
relatore Prof.ssa Pratesi, Monica
Parole chiave
  • small area estimation
  • indirect estimation
  • direct estimation
  • demographic estimation
Data inizio appello
07/10/2019
Consultabilità
Completa
Riassunto
In order for local communities (cities, municipalities) to carry out their duties and make decisions, they need to mobilize information on small sub-municipality-level areas. This is especially the case for disadvantaged priority areas in France.
Estimation methods exist for some types of infra communal areas which were developed in 2010 and depend on the number of dwellings sampled in the area. Nowadays, these methods must be reviewed for several reasons: the demand for information on small areas has increased, the supply of auxiliary geo-located data has expanded, and geo-localization of population census data has been greatly developed.
This research is going to propose a method to estimate the population as well as estimate some of the population characteristics on essentially infra-city communities.
Depending on the sample size in these domains, research will apply direct estimation methods, indirect estimation methods or small areas estimation methods. The auxiliary information from financial baselines or administrative data will be taken into account, to improve the estimation.
In order to assess the statistical quality of the produced estimations, research will consider variance and coefficient ò variation of each demographic estimation.
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