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Wyszukujesz frazę "income poverty" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Estimation of Income Inequality and the Poverty Rate in Poland, by Region and Family Type
Autorzy:
Jędrzejczak, Alina
Kubacki, Jan
Powiązania:
https://bibliotekanauki.pl/articles/466014.pdf
Data publikacji:
2014
Wydawca:
Główny Urząd Statystyczny
Tematy:
income inequality
poverty
variance estimation
small area statistics
Opis:
High income inequality can be a source of serious socio-economic problems, such as increasing poverty, social stratification and polarization. Periods of pronounced economic growth or recession may impact different groups of earners differently. Growth may not be shared equally and economic crises may further widen gaps between the wealthiest and poorest sectors. Poverty affects all ages but children are disproportionately affected by it. The reliable inequality and poverty analysis of both total population of households and subpopulations by various family types can be a helpful piece of information for economists and social policy makers. The main objective of the paper was to present some income inequality and poverty estimates with the application to the Polish data coming from the Household Budget Survey. Besides direct estimation methods, the model based approach was taken into regard. Standard errors of estimates were also considered in the paper.
Źródło:
Statistics in Transition new series; 2014, 15, 3; 359-378
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Percentile-Adjusted Estimation of Poverty Indicators for Domains Under Outlier Contamination
Autorzy:
Veijanen, Ari
Lehtonen, Risto
Powiązania:
https://bibliotekanauki.pl/articles/466042.pdf
Data publikacji:
2011
Wydawca:
Główny Urząd Statystyczny
Tematy:
small area estimation
poverty indicator
income data
bias correction
auxiliary information
mixed model
prediction
Opis:
Traditional estimation of poverty and inequality indicators, such as the Gini coefficient, for regions does not currently use auxiliary information or models fitted to income survey data. A predictor-type estimator constructed from ordinary mixed model predictions is not necessarily useful, as the predictions have too small spread for estimation of income statistics. Ordinary bias corrections are aimed at correcting the expectation of predictions, but poverty indicators would not be affected at all by a correction involving multiplication of predictions. We need a method improving the shape of the distribution of predictions, as poverty indicators describe differences of income between people. We therefore introduce a transformation bringing the percentiles of transformed predictions closer to the percentiles of sample values. The experiments show that the transformation results in smaller MSE of a predictor. If unit-level data from population are not available, the marginal domain frequencies of qualitative auxiliary variables can be successfully incorporated into a new calibration-based predictor-type estimator. The results are based on design-based simulation experiments where we use a population generated from an EU-wide income survey. The study is a part of the AMELI project funded by the European Union under the Seventh Framework Programme for research and technological development (FP7).
Źródło:
Statistics in Transition new series; 2011, 12, 2; 345-356
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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