Temat: eu-silc - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: What explains the differences in material deprivation between rural and urban areas in Poland before and during the COVID-19 pandemic?
Autorzy:: Dudek, Hanna
Landmesser-Rusek, Joanna
Powiązania:: https://bibliotekanauki.pl/articles/18694599.pdf
Data publikacji:: 2023-09-08
Wydawca:: Główny Urząd Statystyczny
Tematy:: rural-urban differences
COVID-19
logit model
Fairlie decomposition
EU-SILC
Opis:: We examined the relationships between the compositional changes in demographic and socioeconomic factors and the changes in the prevalence of material deprivation in rural and urban areas in Poland. Using the European Union Statistics on Income and Living Conditions (EU-SILC) data for 2019–2020, we applied the Fairlie decomposition approach for a logit model. We found that the important characteristics affecting a gap in material deprivation between rural and urban areas are: equivalized income, the level of education, the type of household, and the presence of disabled or unemployed people in the household. A non-significant effect of the pandemic on the material deprivation gap between rural and urban areas was observed.
Źródło:: Statistics in Transition new series; 2023, 24, 4; 37-52
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Bootstrap Method with Calibration for Standard Error Estimators of Income Poverty Measures
Autorzy:: Zięba-Pietrzak, Agnieszka
Kordos, Jan
Wieczorkowski, Robert
Powiązania:: https://bibliotekanauki.pl/articles/465812.pdf
Data publikacji:: 2011
Wydawca:: Główny Urząd Statystyczny
Tematy:: Auxiliary information
Bootstrap
Calibration
Complex sample surveys
EU-SILC
Poverty indicators
Weighting
Opis:: The authors begin with calibration approach in sample surveys, focussing on the Eurostat approach. Next, the indicators of poverty and social exclusion are discussed as an essential tool for monitoring progress in the reduction of these problems. Most of these indicators are calculated according to the Eurostat recommendations, using data from European Statistics on Income and Living Conditions (EU-SILC). Complex sample design of the EU-SILC requires weighted analyses for estimates of population parameters and approximate methods of standard error estimation. In our study McCarthy and Snowden (1985) bootstrap method for standard errors estimation of income poverty measures is presented. In the next step the reweighting of bootstrap weights is applied and results of such calibration are discussed.
Źródło:: Statistics in Transition new series; 2011, 12, 1; 81-96
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 3.

Tytuł:: Small area estimates of the low work intensity indicator at voivodeship level in Poland
Autorzy:: Wawrowski, Łukasz
Beręsewicz, Maciej
Powiązania:: https://bibliotekanauki.pl/articles/1054564.pdf
Data publikacji:: 2021-06-04
Wydawca:: Główny Urząd Statystyczny
Tematy:: EU-SILC
ow work intensity
labour market
small area estimation
temporal models
spatio-temporal models
Opis:: The EU Statistics on Income and Living Conditions (EU-SILC) has provided annual estimates of the number of labour market indicators for EU countries since 2003, with an almost exclusive focus on national rates. However, it is impossible to obtain reliable direct estimates of labour market statistics at low levels based on the EU-SILC survey. In such cases, modelbased small area estimation can be used. In this paper, the low work intensity indicator for the 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 these models provide more reliable estimates than direct estimation.
Źródło:: Statistics in Transition new series; 2021, 22, 2; 155-172
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

Artykuł

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