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2021 | 22 | nr 2 | 155--172
Tytuł artykułu

Small Area Estimates of the Low Work Intensity Indicatorat Voivodeship Level in Poland

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The EU Statistics on Income and Living Conditions (EU-SILC) has provided annual esti-mates of the number of labour market indicators for EU countries since 2003, with an almostexclusive focus on national rates. However, it is impossible to obtain reliable direct estimatesof labour market statistics at low levels based on the EU-SILC survey. In such cases, model-based small area estimation can be used. In this paper, the low work intensity indicator forthe spatial domains in Poland between 2005-2012 was estimated. The Rao and You (1994),Fay and Diallo (2012), and Marhuenda, Molina and Morales (2013) models were applied.The bootstrap MSE for the discussed methods was proposed. The results indicate that thesemodels provide more reliable estimates than direct estimation.(original abstract)
Rocznik
Tom
22
Numer
Strony
155--172
Opis fizyczny
Twórcy
  • Łukasiewicz Research Network, Institute of Innovative Technologies EMAG, Poland
  • Poznań University of Economics, Poland
Bibliografia
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  • Fay, R. E., Diallo, M. S., (2012). Small Area Estimation Alternatives for the National Crime Victimization Survey. Proceedings of the Section on Survey Research Methods. American Statistical Association, pp. 3742-3756.
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  • GonzáLez-Manteiga, W., LombardíA, M., Molina, I., Morales, D., SantamaríA, L., (2008).Bootstrap mean squared error of a small-area EBLUP. Journal of Statistical Computation and Simulation, 78, pp. 443-462.
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  • Marhuenda, Y., Molina, I., Morales, D., (2013). Small area estimation with spatio-temporal Fay-Herriot models. Computational Statistics and Data Analysis, 58, pp. 308-325.
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Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171660618

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