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Decomposition of gender wage gap in Poland using counterfactual distribution with sample selection

100%

Landmesser J. M.

Statistics in Transition new series

2019

vol. 20

issue 3

171-186

In the paper, we compare income distributions in Poland taking into account gender differences. The gender pay gap can only be partially explained by differences in men's and women's characteristics. The unexplained part of the gap is usually attributed to the wage discrimination. The objective of this study is to extend the Oaxaca-Blinder decomposition procedure to different quantile points along the income distribution. We use the RIF-regression method to describe differences between the incomes of men and women along the two distributions and to evaluate the strength of the influence of personal characteristics on the various parts of the income distributions. As the sample selection is a serious issue for the study, therefore our decomposition approach will be adjusted for sample selection problems. The results suggest not only differences in the income gap along the income distribution (in particular sticky floor and glass ceiling), but also differences in the contribution of selection effects to the pay gap at different quantiles. The analysis is based on data from the EU-SILC data for Poland in 2014.

Probability Sample Selection Method in Household Surveys When Current Data on Regional Population is Unavailable

75%

Ünalan T., Öztaş Ayhan H.

Statistics in Transition new series

2013

vol. 14

issue 2

217-230

Availability of the perfect sampling frame only exists in developed countries, which covers a very small proportion of the world countries. On the other hand, in developing countries lists of the latest population census counts are generally used as the sampling frame for sample surveys. Therefore, in developing countries surveys which are planned for future periods long after the census date, cannot be representative of the related time period if the same census counts are utilized. Instead, population projections and data adjustment methodologies must be used to provide a representative probability selection of the updated population. This article proposes a population projection and adjustment methodology in order to establish the ideal selection probability for household surveys. The method contains the correction on the differences of the sum of strata and aggregated values. Comparative examples are also provided to clarify the proposed methodology.

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2 Statistics in Transition new series

1 2019

1 2013

1 Landmesser J. M.

1 Öztaş Ayhan H.

1 Ünalan T.

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Decomposition of gender wage gap in Poland using counterfactual distribution with sample selection

Probability Sample Selection Method in Household Surveys When Current Data on Regional Population is Unavailable