Unemployment estimation: Spatial point referenced methods and models

نویسندگان

چکیده

From the fourth quarter of 2014, Portuguese Labour Force Survey (PLFS) started geo-referencing sampling units, namely dwellings, in which surveys are carried out. This opens new possibilities analysing and estimating unemployment its spatial distribution across any region by employing point referenced methods models. According to a preestablished criteria, labour force survey selects certain number dwellings from nation study, establishes unemployed people each dwelling. Based on this survey, National Statistical Institute Portugal presently uses direct estimation estimate national figures. Recently however, there has been increased interest these figures smaller areas. Due reduced sizes small areas, tend produce fairly large variations. Therefore, model based should be favoured as borrow strength area making use areal dependence. These counting processes models typically introduce dependence through parameters using latent random effect. In paper, we suggest an alternative traditional for estimation. Specifically, residential buildings log Gaussian Cox process, per unit mark attached points. Thus, main focus study is intensity function marked process. The can then estimated proper functional principal objective method reliable estimates at higher resolutions, same time incorporate into available auxiliary information such mean age or education level compared averages used

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ژورنال

عنوان ژورنال: spatial statistics

سال: 2021

ISSN: ['2211-6753']

DOI: https://doi.org/10.1016/j.spasta.2019.01.004