Tomasz Klimanek
ARTICLE

(English) PDF

ABSTRACT

The article presents possible application of indirect estimation methods (including the method accounting for spatial correlation) to estimate some characteristics of labor market in the population of people aged 15 and over at the level of NUTS3 in Poland in 2008. This is a more detailed spatial aggregation of data compared with that found in publications of the Central Statistical Office based on Labour Force Survey results. The second aim of the article is to compare the precision measures of the direct estimator with those of the EBLUP estimator (empirical best linear unbiased predictor) and the EBLUPGREG SPATIAL estimator (which takes into account spatial correlation).

KEYWORDS

small area statistics, spatial autocorrelation, unemployment, Labour Force Survey (LFS)

REFERENCES

[1] Bracha, C., Lednicki, B. and Wieczorkowski, R., (2003), Estimation of Data from the Polish Labour Force Surveys by poviats (counties) in 1995—2002 (in Polish), Central Statistical Office of Poland, Warsaw. http://www.stat.gov.pl/cps/rde/xbcr/gus/PUBL estymacja danych z bad na poziomie pow dla lat 1995 2002.pdf

[2] Chandra H., Salvati N., Chambers R., (2009), Small Area estimation for Spatially Correlated Populations – A Comparison of Direct and Indirect Model-Based Methods, Southampton Statistical Sciences Research Institute, Methodology Working Paper M07/09, University of Southampton.

[3] D’Al`o M., Falorsi S., Solari F., (2004), EURAREA Documentation on SAS/IML program on Linear Mixed Model with Spatial Correlated Area Effects in Small Area Estimation, EURAREA Deliverable 3.3.2.

[4] EURAREA Project Reference Volume, http://www.statistics.gov.uk/eurarea.

[5] EURAREA EBLUPGREG Software Documentation, Statistics Finland EURAREA Consortium, Deliverables D2.3.2, D3.3.2, 2004.

[6] Gołata E., (2004), Estymacja pośrednia bezrobocia na lokalnym rynku pracy, Wydawnictwo AE w Poznaniu, Poznań.

[7] Kruszka K., (ed.), (2010), Commuting in Poland, Statistical Office in Poznań, Poznań.

[8] Kubacki J., (2004), Application of the Hierarchical Bayes Estimation to the Polish Labour Force Survey, Statistics in Transition, 6 (5), 785-796, Warsaw.

[9] Saei A., Chambers R., (2003), Small Area Estimation: A Review of Methods Based on the Application of Mixed Models, University of Southampton.

[10] Saei A., Chambers R., (2004), Small Area Estimation Under Linear and Generalized Linear Mixed Models With Time and Area Effects, University of Southampton.

Back to top
© 2019–2022 Copyright by Statistics Poland, some rights reserved. Creative Commons Attribution-ShareAlike 4.0 International Public License (CC BY-SA 4.0) Creative Commons — Attribution-ShareAlike 4.0 International — CC BY-SA 4.0