Unemployment estimation: Spatial point referenced methods and models

Handle URI:
http://hdl.handle.net/10754/626563
Title:
Unemployment estimation: Spatial point referenced methods and models
Authors:
Pereira, Soraia; Turkman, Kamil Feridun; Correia, Luis; Rue, Haavard ( 0000-0002-0222-1881 )
Abstract:
Portuguese Labor force survey, from 4th quarter of 2014 onwards, started geo-referencing the sampling units, namely the dwellings in which the surveys are carried. This opens new possibilities in analysing and estimating unemployment and its spatial distribution across any region. The labor force survey choose, according to an preestablished sampling criteria, a certain number of dwellings across the nation and survey the number of unemployed in these dwellings. Based on this survey, the National Statistical Institute of Portugal presently uses direct estimation methods to estimate the national unemployment figures. Recently, there has been increased interest in estimating these figures in smaller areas. Direct estimation methods, due to reduced sampling sizes in small areas, tend to produce fairly large sampling variations therefore model based methods, which tend to
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Applied Mathematics and Computational Science Program
Publisher:
arXiv
Issue Date:
26-Jun-2017
ARXIV:
arXiv:1706.08320
Type:
Preprint
Additional Links:
http://arxiv.org/abs/1706.08320v1; http://arxiv.org/pdf/1706.08320v1
Appears in Collections:
Other/General Submission; Applied Mathematics and Computational Science Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorPereira, Soraiaen
dc.contributor.authorTurkman, Kamil Feridunen
dc.contributor.authorCorreia, Luisen
dc.contributor.authorRue, Haavarden
dc.date.accessioned2017-12-28T07:32:16Z-
dc.date.available2017-12-28T07:32:16Z-
dc.date.issued2017-06-26en
dc.identifier.urihttp://hdl.handle.net/10754/626563-
dc.description.abstractPortuguese Labor force survey, from 4th quarter of 2014 onwards, started geo-referencing the sampling units, namely the dwellings in which the surveys are carried. This opens new possibilities in analysing and estimating unemployment and its spatial distribution across any region. The labor force survey choose, according to an preestablished sampling criteria, a certain number of dwellings across the nation and survey the number of unemployed in these dwellings. Based on this survey, the National Statistical Institute of Portugal presently uses direct estimation methods to estimate the national unemployment figures. Recently, there has been increased interest in estimating these figures in smaller areas. Direct estimation methods, due to reduced sampling sizes in small areas, tend to produce fairly large sampling variations therefore model based methods, which tend toen
dc.publisherarXiven
dc.relation.urlhttp://arxiv.org/abs/1706.08320v1en
dc.relation.urlhttp://arxiv.org/pdf/1706.08320v1en
dc.rightsArchived with thanks to arXiven
dc.titleUnemployment estimation: Spatial point referenced methods and modelsen
dc.typePreprinten
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentApplied Mathematics and Computational Science Programen
dc.eprint.versionPre-printen
dc.contributor.institutionFCUL, Universidade de Lisboa, Lisboa, Portugal.en
dc.identifier.arxividarXiv:1706.08320en
kaust.authorRue, Haavarden
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