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  • The aim of the article is to quantify the income inequality at different levels of selected factors such as region, gender, education, age, ISCO - International Standard Classification of Occupations and NACE - Classification of Economic Activities. The analysis used mainly suitable indicators of income disparities, probability models of incomes and correspondence analysis. The bases for application of the chosen methods will be data on gross monthly wages of persons older than 16 years of the EU-SILC survey.
  • The aim of the article is to quantify the income inequality at different levels of selected factors such as region, gender, education, age, ISCO - International Standard Classification of Occupations and NACE - Classification of Economic Activities. The analysis used mainly suitable indicators of income disparities, probability models of incomes and correspondence analysis. The bases for application of the chosen methods will be data on gross monthly wages of persons older than 16 years of the EU-SILC survey. (en)
Title
  • Quantitative Analysis of Income Disparities
  • Quantitative Analysis of Income Disparities (en)
skos:prefLabel
  • Quantitative Analysis of Income Disparities
  • Quantitative Analysis of Income Disparities (en)
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  • RIV/00216275:25410/11:39892632!RIV12-MSM-25410___
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  • I
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  • 225420
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  • RIV/00216275:25410/11:39892632
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  • distribution of gross monthly earnings of employees.; multidimensional correspondence analysis; EU-SILC; factors; Disparities (en)
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  • [A46A498059D7]
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  • Zakopane
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  • Kraków
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  • Data analysis methods for modelling and forecasting economic processes
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  • Pacáková, Viera
  • Sipková, Ľubica
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number of pages
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  • Wydawnictwo Uniwersytetu Ekonomicznego w Krakowie
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  • 978-83-7252-522-2
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  • 25410
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