scholarly journals Income inequality of households in Poland: A subgroup decomposition of generalized entropy measures

Econometrics ◽  
2018 ◽  
Vol 22 (4) ◽  
pp. 43-64 ◽  
Author(s):  
Joanna Muszyńska ◽  
Ewa Wędrowska
Keyword(s):  
Income Inequality ◽  
Generalized Entropy ◽  
Entropy Measures ◽  
Subgroup Decomposition

Individual Components of Three Inequality Measures for Analyzing Shapes of Inequality

2019 ◽  
pp. 004912411987596
Author(s):  
Tim Futing Liao
Keyword(s):  
Sociological Research ◽  
Aggregate Level ◽  
Current Population Survey Data ◽  
Single Measure ◽  
Generalized Entropy ◽  
Individual Level ◽  
Inequality Measures ◽  
Entropy Measures ◽  
Individual Contributions ◽  
The Individual

In common sociological research, income inequality is measured only at the aggregate level. The main purpose of this article is to demonstrate that there is more than meets the eye when inequality is indicated by a single measure. In this article, I introduce an alternative method that evaluates individuals’ contributions to inequality as well as the between-group and within-group components of these individual contributions. I first highlight three common inequality measures, the Gini index and two generalized entropy measures—Theil’s T and Theil’s L indices—by presenting their individual components as a method for evaluating inequality. Five artificial data examples illustrate the use of these individual components first. An empirical analysis of the 2007 and 2017 Current Population Survey data then focuses on the differences in inequality revealed by such individual inequality components between the 2007 and 2017. The individual-level inequality measures can reveal patterns of inequality concealed by single measures at the aggregate level. In particular, the Gini individual measures differentiate cases better than the generalized entropy measures and tend to have smaller standard errors in a regression analysis.

Comparison of experiments based on generalized entropy measures

1993 ◽  
Vol 22 (4) ◽  
pp. 1113-1132 ◽  
Author(s):  
J.A. Pardo ◽  
M.L. Menendez ◽  
I.J. Taneja ◽  
L. Pardo
Keyword(s):  
Generalized Entropy ◽  
Comparison Of Experiments ◽  
Entropy Measures

scholarly journals Análisis multidimensional de la desigualdad en el marco del desarrollo humano

2020 ◽  
Vol 32 (2) ◽  
pp. 765
Author(s):  
Vanesa Jordá ◽  
Carmen Trueba ◽  
José María Sarabia
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Well Being ◽  
Three Dimensions ◽  
Generalized Entropy ◽  
Development Index ◽  
Inequality Measures ◽  
Entropy Measures ◽  
Alternative Approaches ◽  
Multidimensional Process

In this work we contribute to the study of well-being inequality conceived as a multidimensional process, analyzing inequality across countries in terms of the Human Development Index (HDI). To that end, we consider two alternative approaches based on the use of generalized entropy measures. Our results point out a reduction of inequality in the three dimensions considered by the HDI as well as in composite indicators of these components over the period 1980-2011. The decomposition of this type of inequality measures in two components, between-regions and within- regions, reveals that the fall of overall disparities is mainly driven by the decrease in inequality between regions.

Entropy Analysis on Intuitionistic Fuzzy Sets and Interval-Valued Intuitionistic Fuzzy Sets and its Applications in Mode Assessment on Open Communities

2018 ◽  
Vol 22 (1) ◽  
pp. 147-155 ◽  
Author(s):  
Hang Tian ◽  
Jiaru Li ◽  
Fangwei Zhang ◽  
Yujuan Xu ◽  
Caihong Cui ◽  
...  
Keyword(s):  
Decision Making ◽  
Fuzzy Sets ◽  
Multiple Attribute Decision Making ◽  
Intuitionistic Fuzzy Sets ◽  
Entropy Measure ◽  
Generalized Entropy ◽  
Intuitionistic Fuzzy ◽  
Multiple Attribute ◽  
Entropy Measures ◽  
Interval Valued

This paper identifies four variables to reveal the internal mechanisms of the entropy measures on intuitionistic fuzzy sets (IFSs) and interval-valued intuitionistic fuzzy sets (IVIFSs). First, four variables are used to propose a pair of generalized entropy measures on IFSs and IVIFSs. Second, three specific entropy measures are put forward to illustrate the effectiveness of the generalized entropy measure functions. Third, a novel multiple attribute decision-making approach under an intuitionistic fuzzy environment is proposed. The superiority of the decision-making approach is that the weight values of the attributes are obtained by their related entropy measures. Finally, the performance of the proposed entropy regulations on IFSs and IVIFSs is illustrated through a mode assessment example on open communities.

scholarly journals Assessment of the Degree of the Divergence and Inequality of Household Income Distribution in Poland in the Years 2005–2013

2016 ◽  
Vol 16 (1) ◽  
pp. 50-62 ◽  
Author(s):  
Filip Edmund Gęstwicki ◽  
Ewa Wędrowska
Keyword(s):  
Income Inequality ◽  
Income Distribution ◽  
Household Income ◽  
Wealth Inequality ◽  
Early Years ◽  
First Century ◽  
The European Union ◽  
Main Research ◽  
Entropy Measures ◽  
Household Incomes

Abstract The increase in income and wealth inequality observed in the last decade of the twentieth century and the first decade of the twenty-first century is the subject of many analyses and discussions. Research shows that major changes in household incomes in Poland took place in the early years of transition (1990–1992), known as a ‘revolution in income’. The article focuses on the assessment of the degree of household income inequality after the Poland’s accession to the European Union. The most commonly used measures in income inequality studies are the measures of inequality based on the Lorenz function – a popular Gini coefficient and the Schutz ratio, measures using the concept of entropy, measures based on welfare function, or measures based on income distribution quantiles. The article proposes the possibility of broadening the measuring spectrum of income inequality analysis of the Csiszár’s divergence measures. The main research objective of the article is to assess the divergence in the distribution of household equivalent disposable income in Poland in the years 2005–2013. The data used in the analysis come from the European Survey on Income and Living Conditions (EU-SILC).

scholarly journals Assessing Global Inequality in Well-being Using Generalized Entropy Measures

2013 ◽  
Vol 5 ◽  
pp. 361-367 ◽  
Author(s):  
Vanesa Jordá ◽  
Carmen Trueba ◽  
José María Sarabia
Keyword(s):  
Well Being ◽  
Global Inequality ◽  
Generalized Entropy ◽  
Entropy Measures
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