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  • Statistics In Transition

 

Research Article | 13-June-2021

Small area estimates of the low work intensity indicator at voivodeship level in Poland

The EU Statistics on Income and Living Conditions (EU-SILC) has provided annual esti mates 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, model based small area estimation can be used. In this paper, the low work intensity indicator for the spatial domains in Poland between

Łukasz Wawrowski, Maciej Beręsewicz

Statistics in Transition New Series, Volume 22 , ISSUE 2, 155–172

Research Communicate | 22-January-2018

THE INTER-COUNTRY COMPARISON OF THE COST OF CHILDREN MAINTENANCE USING HOUSING EXPENDITURE

It is interesting to compare maintenance costs of children between countries with similar yet different family policy regimes because this could yield valuable lessons for researchers and policy-makers and also for the sake of methodological development. In this study, we aim to conduct a comparative analysis of the equivalence scales in Austria, Italy, Poland and France taking into account the age of children. To this end, we use data from the European Income and Living Condition (EU-SILC) to

Małgorzata Kalbarczyk2,, Agata Miazga3,, Anna Nicińska4

Statistics in Transition New Series, Volume 18 , ISSUE 4, 687–699

Article | 16-March-2019

THE COMPARISON OF INCOME DISTRIBUTIONS FOR WOMEN AND MEN IN POLAND USING SEMIPARAMETRIC REWEIGHTING APPROACH

reweighting approach (DiNardo, Fortin, Lemieux, 1996). The reweighting factor is computed for each observation by estimating a logit model for probabilities of belonging to men’s or women’s group. Then, we estimate probability density functions, including the counterfactual density function, using kernel density methods. This allows us to decompose the inequalities into the explained and unexplained components. The analysis is based on the EU-SILC data for Poland in 2014.

Dominika Marta Urbańczyk, Joanna Małgorzata Landmesser

Statistics in Transition New Series, Volume 19 , ISSUE 4, 711–723

Article | 15-March-2019

THE COMPARISON OF INCOME DISTRIBUTIONS FOR WOMEN AND MEN IN POLAND USING SEMIPARAMETRIC REWEIGHTING APPROACH

reweighting approach (DiNardo, Fortin, Lemieux, 1996). The reweighting factor is computed for each observation by estimating a logit model for probabilities of belonging to men’s or women’s group. Then, we estimate probability density functions, including the counterfactual density function, using kernel density methods. This allows us to decompose the inequalities into the explained and unexplained components. The analysis is based on the EU-SILC data for Poland in 2014.

Dominika Marta Urbańczyk, Joanna Małgorzata Landmesser

Statistics in Transition New Series, Volume 19 , ISSUE 4, 711–723

Article | 04-September-2019

DECOMPOSITION OF GENDER WAGE GAP IN POLAND USING COUNTERFACTUAL DISTRIBUTION WITH SAMPLE SELECTION

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.

Joanna Małgorzata Landmesser

Statistics in Transition New Series, Volume 20 , ISSUE 3, 171–186

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