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Percentile-Adjusted Estimation of Poverty Indicators for Domains Under Outlier Contamination

100%

Veijanen A., Lehtonen R.

Statistics in Transition new series

2011

vol. 12

issue 2

345-356

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).

Gender Pay Gap in Poland

84%

Oczki J.

Ekonomia Międzynarodowa

2016

issue 14

106-113

Celem artykułu jest analiza porównawcza rzeczywistej i skorygowanej luki płacowej w Polsce i wybranych krajach wysoko rozwiniętych oraz dyskusja na temat czynników wpływających na zróżnicowanie w wynagrodzeniach mężczyzn i kobiet. Wykorzystano dane Eurostatu EU-SILC oraz Międzynarodowej Organizacji Pracy. W artykule sformułowano wnioski o relatywnie niewielkiej i malejącej luce dochodowej ze względu na płeć w Polsce oraz o niewystarczającym zestawie zmiennych użytych do oszacowania skorygowanej luki dochodowej przez Międzynarodową Organizację Pracy.

The aim of the article is to investigate the actual and explained gender pay gaps in Poland in comparison with selected highly developed countries, and to discuss the factors determining wage disparities between men and women. Data from Eurostat EU-SILC and the International Labour Organization were used. The article concludes that the gender pay gap in Poland is relatively small and decreasing, and that estimates of the explained gender pay gap published by the International Labour Organization do not consider the influence of some important variables shaping wages.

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1 Ekonomia Międzynarodowa

1 Statistics in Transition new series

1 Lehtonen R.

1 Oczki J.

1 Veijanen A.

1 2016

1 2011

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Percentile-Adjusted Estimation of Poverty Indicators for Domains Under Outlier Contamination

Gender Pay Gap in Poland