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Journal articles on the topic 'Gini Decompositionts'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Yazgan, Şekip. "Kamu yatırımları dağılımının gini katsayısı ile ölçülmesi: Türkiye üzerine bir uygulama (1999-2017)." International Journal of Economics, Politics, Humanities & Social Sciences 1, no. 1 (2017): 35–44. https://doi.org/10.5281/zenodo.2539195.

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In this study, the extent of unequal distribution of public investments among provinces in Turkey between the years of 1999 and 2017 is measured with Gini Coefficient. Empirical findings show that Gini Coefficient calculated for all public investments other than manufacturing industry showed a decrease in the said period. This result means that public investments were distributed relatively more equally among the provinces in 2017. According to decomposition results of Gini Coefficient conducted to reveal the amount of inequality in total public investments is originated from other public inve

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2

Okamoto, Masato. "Decomposition of gini and multivariate gini indices." Journal of Economic Inequality 7, no. 2 (2008): 153–77. http://dx.doi.org/10.1007/s10888-007-9069-5.

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3

Makdissi, Paul, and Quentin Wodon. "GINI DECOMPOSITION AND GINI INCOME ELASTICITY UNDER INCOME VARIABILITY." Bulletin of Economic Research 64, no. 2 (2011): 184–91. http://dx.doi.org/10.1111/j.1467-8586.2010.00367.x.

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4

Giudici, P., and E. Raffinetti. "On the Gini measure decomposition." Statistics & Probability Letters 81, no. 1 (2011): 133–39. http://dx.doi.org/10.1016/j.spl.2010.10.005.

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5

Mussard, Stéphane, and Patrick Richard. "Linking Yitzhaki's and Dagum's Gini decompositions." Applied Economics 44, no. 23 (2011): 2997–3010. http://dx.doi.org/10.1080/00036846.2011.568410.

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6

Ceriani, Lidia, and Paolo Verme. "Individual Diversity and the Gini Decomposition." Social Indicators Research 121, no. 3 (2014): 637–46. http://dx.doi.org/10.1007/s11205-014-0656-0.

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7

Sastry, D. V. S., and Ujwala R. Kelkar. "Note on the Decomposition of Gini Inequality." Review of Economics and Statistics 76, no. 3 (1994): 584. http://dx.doi.org/10.2307/2109984.

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8

Rey, Sergio J., and Richard J. Smith. "A spatial decomposition of the Gini coefficient." Letters in Spatial and Resource Sciences 6, no. 2 (2012): 55–70. http://dx.doi.org/10.1007/s12076-012-0086-z.

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9

Sarkar, Sandip. "Gini decomposition: An inequality of opportunity perspective." Economics Letters 223 (February 2023): 110975. http://dx.doi.org/10.1016/j.econlet.2022.110975.

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10

Bortot, Silvia, Mario Fedrizzi, Ricardo Alberto Marques Pereira, and Thuy Hong Nguyen. "The binomial decomposition of generalized Gini welfare functions, the S-Gini and Lorenzen cases." Information Sciences 460-461 (September 2018): 555–77. http://dx.doi.org/10.1016/j.ins.2017.07.028.

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11

Lambert, Peter J., and J. Richard Aronson. "Inequality Decomposition Analysis and the Gini Coefficient Revisited." Economic Journal 103, no. 420 (1993): 1221. http://dx.doi.org/10.2307/2234247.

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12

Ogwang, Tomson. "The Marginal Effects in Subgroup Decomposition of the Gini Index." Journal of Official Statistics 32, no. 3 (2016): 733–45. http://dx.doi.org/10.1515/jos-2016-0037.

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Abstract In this article, we derive the elasticity of the Gini index with respect to changes in subgroup incomes for subgroups that are characterized by significant income separation. The resulting elasticity, which is structurally similar to that of the empirically popular Lerman and Yitzhaki’s (1985) elasticity for Gini income-source decomposition, entails easy and transparent computations. Some possible checks for income separation are described and an illustrative example using Canadian data is provided. The advantages of the proposed methodology over the Shapley value approach to Gini sub

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13

Yao, Shujie, and Jirui Liu. "Decomposition of Gini coefficients by class: a new approach." Applied Economics Letters 3, no. 2 (1996): 115–19. http://dx.doi.org/10.1080/135048596356825.

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14

Costa, Michele. "Gini Index Decomposition for the Case of Two Subgroups." Communications in Statistics - Simulation and Computation 37, no. 4 (2008): 631–44. http://dx.doi.org/10.1080/03610910701883916.

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15

Jędrzejczak, Alina. "Decomposition of the Gini Index by Sources of Income." International Advances in Economic Research 14, no. 4 (2008): 441–47. http://dx.doi.org/10.1007/s11294-008-9175-6.

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16

Tziafetas, G. N. "A Formula for the Gini Coefficient and its Decomposition." Biometrical Journal 31, no. 8 (1989): 961–67. http://dx.doi.org/10.1002/bimj.4710310811.

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17

Aliluiko, Andrii, Valerii Yeromenko, and Natalia Stefurak. "ASSESSMENT OF INEQUALITY OF THE POPULATION OF UKRAINE BY SOURCES OF INCOME." INNOVATIVE ECONOMY, no. 3-4 (2021): 98–105. http://dx.doi.org/10.37332/2309-1533.2021.3-4.14.

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Purpose. The aim of the article is the analysis of inequality of the population of Ukraine by sources of income. Methodology of research. A set of general scientific and specific methods of economic research was used in the course of the research, in particular, methods of theoretical generalizations: analysis, abstract and logical method (at substantiation of modern tendencies of inequality of the population of Ukraine on incomes); economic and statistical methods (in assessing the dynamics of inequality of the population of Ukraine in terms of monetary income); methods of mathematical statis

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18

Costa, Michele, and Antonio Fernandez Morales. "Income inequality measures: Gini ratio and generalized entropy indexes decomposition." International Advances in Economic Research 4, no. 4 (1998): 448. http://dx.doi.org/10.1007/bf02295698.

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19

Mussini, Mauro. "On the link between Silber and Dagum decompositions of the Gini index." Statistics in Transition new series 11, no. 3 (2010): 597–614. http://dx.doi.org/10.59170/stattrans-2010-034.

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In this paper, we combine two alternative procedures for decomposing the Gini index: the Silber matrix approach and the Dagum technique based on Gini mean difference. This combined decomposition can be used for overlapping as well as no overlapping population subgroups. The presented decomposition procedure derives the within-group, the between-group, and the overlapping inequalities by exploiting all of the information on income distribution contained in one matrix accounting for pair wise disparities between per capita income shares. Moreover, this matrix approach can serve the scope of coun

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20

Braga de Almeida-Gabriel, Flávio, Márcio Luiz Ribeiro, João Felipe Ferreira da Luz, and Carlos Augusto Lira Vaz da Costa. "Income Inequality of the Brazilian Amazon Population." Revista Brasileira de Estudos Regionais e Urbanos 16, no. 1 (2023): 113–40. http://dx.doi.org/10.54766/rberu.v16i1.824.

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The main objective of this study is to evaluate the behavior of income distribution in the Amazonian States of Brazil from 2004 to 2015. As complementary objectives, we sought to determine the immediate causes of any differences of Household Income Per Capita (HIPC) distribution in the Legal Amazon, based on the static decomposition of the Gini Index, and to analyze the dynamic decomposition of the Gini Index considering HIPC portions. This methodology used microdata from the National Household Sample Survey (PNAD) for the analyzed period. As a result, the Gini index of the Legal Amazon HIPC p

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21

Ниворожкина, Л. И., С. В. Арженовский, and А. А. Трегубова. "INEQUALITY PROFILES BASED ON GINI COEFFICIENT DECOMPOSITION WITH HIDDEN HOUSEHOLD INCOME." Учет и статистика, no. 3(63) (November 22, 2021): 75–87. http://dx.doi.org/10.54220/1994-0874.2021.63.3.009.

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В работе на основе данных Российского мониторинга экономического положения и здоровья населения НИУ ВШЭ (RLMS-HSE) построены профили неравенства по типу поселения, где проживает домохозяйство, социально-демографической структуре, числу детей и числу работающих членов домохозяйства. Выявлены подгруппы домохозяйств, которые изменяют относительные вклады в неравенство, при учете скрытых доходов. The article presents constructed inequality profiles, based on the Russia Longitudinal Monitoring Survey – Higher School of Economics (RLMS-HSE) dataset, by the type of household settlement, socio-demogra

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22

Mussard, Stéphane. "The bidimensional decomposition of the Gini ratio. A case study: Italy." Applied Economics Letters 11, no. 8 (2004): 503–5. http://dx.doi.org/10.1080/1350485042000244530.

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23

Frosini, Benito V. "Approximation and decomposition of Gini, Pietra–Ricci and Theil inequality measures." Empirical Economics 43, no. 1 (2011): 175–97. http://dx.doi.org/10.1007/s00181-011-0464-1.

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24

Frick, Joachim R., and Jan Goebel. "Regional Income Stratification in Unified Germany Using a Gini Decomposition Approach." Regional Studies 42, no. 4 (2008): 555–77. http://dx.doi.org/10.1080/00343400701543181.

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25

Demsou, Themoi. "Gini Multi-Decomposition by Subpopulation in Fuzzy Poverty: Evidence of Chad." Theoretical Economics Letters 12, no. 06 (2022): 1566–76. http://dx.doi.org/10.4236/tel.2022.126086.

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26

Demsou, Themoi. "Gini index decomposition by deprivation in multidimensional poverty: evidence from Chad." Gaceta Sanitaria 37 (2023): 102299. http://dx.doi.org/10.1016/j.gaceta.2023.102299.

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27

Ogwang, Tomson. "A Convenient Method of Decomposing the Gini Index by Population Subgroups." Journal of Official Statistics 30, no. 1 (2014): 91–105. http://dx.doi.org/10.2478/jos-2014-0005.

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Abstract We propose a convenient method of estimating the within-group, between-group, and interaction components of the overall traditional Gini index from the estimated parameters of underlying “trick regression models” involving known forms of heteroscedasticity related to income. Two illustrative examples involving both real and artificial data are provided. The issue of appropriate standard error of the subgroup decomposition is also discussed.

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28

Yao, Shujie. "Decomposition of Gini coefficients by income factors: a new approach and application." Applied Economics Letters 4, no. 1 (1997): 27–31. http://dx.doi.org/10.1080/758521827.

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29

Lau, Pong-Lung, and Tay T. R. Koo. "A multilevel Gini decomposition approach to measuring the geographic concentration of tourism." Current Issues in Tourism 20, no. 8 (2016): 883–93. http://dx.doi.org/10.1080/13683500.2016.1190321.

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30

Kim, Sang-Kwon. "The Trend in Fishery Household Income Inequality and Its Gini Factor Decomposition." Journal of Fisheries Business Administration 45, no. 1 (2014): 17–31. http://dx.doi.org/10.12939/fba.2014.45.1.017.

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31

Manero, Ana. "The limitations of negative incomes in the Gini coefficient decomposition by source." Applied Economics Letters 24, no. 14 (2016): 977–81. http://dx.doi.org/10.1080/13504851.2016.1245828.

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32

Dagum, Camilo. "A new approach to the decomposition of the Gini income inequality ratio." Empirical Economics 22, no. 4 (1997): 515–31. http://dx.doi.org/10.1007/bf01205777.

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33

Costa, Michele. "Overlapping component and inequality decomposition: a simulation study for the Gini index." METRON 74, no. 2 (2016): 193–205. http://dx.doi.org/10.1007/s40300-016-0092-9.

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34

Bortot, Silvia, and Ricardo Alberto Marques Pereira. "The binomial Gini inequality indices and the binomial decomposition of welfare functions." Fuzzy Sets and Systems 255 (November 2014): 92–114. http://dx.doi.org/10.1016/j.fss.2014.07.010.

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35

Nhem, Sareth, Young Jin Lee, and Sopheap Phin. "Forest income and inequality in Kampong Thom province, Cambodia: Gini decomposition analysis." Forest Science and Technology 14, no. 4 (2018): 192–203. http://dx.doi.org/10.1080/21580103.2018.1520744.

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36

Liang, Lin, Xujun Cui, and Chengxu Liu. "Feature extraction for periodic impacts based on singular gini index." Journal of Physics: Conference Series 2862, no. 1 (2024): 012031. http://dx.doi.org/10.1088/1742-6596/2862/1/012031.

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Abstract Impulsivity and periodicity are key characteristics of bearing impact faults, which can be more advisable than energy-oriented methods when applied to develop effective singular component selection strategies. Therefore, unlike standard singular value decomposition methods, a fault feature extraction technique based on singular value sequence distribution and the Gini index is proposed. This approach employs the Gini index as a metric to assess both the impulsiveness and periodicity characteristics of individual components. It can describe the richness of fault information in singular

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37

Novignon, Jacob. "Household income inequality in Ghana: a decomposition analysis." African Journal of Economic and Management Studies 8, no. 4 (2017): 515–26. http://dx.doi.org/10.1108/ajems-03-2017-0045.

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Purpose The purpose of this paper is to decompose income inequality across various household income components and to estimate the marginal effects of changes in each of the income components on overall income inequality in Ghana. Design/methodology/approach Data were collected from the fifth and sixth rounds of the Ghana Living Standards Surveys. Gini coefficient was estimated and decomposed across structured income components. The marginal effects were obtained by computing the partial derivatives of the Gini coefficient with respect to a percentage change in a particular income source. Find

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38

Ostasiewicz, Katarzyna, and Achille Vernizzi. "Decomposition of the Gini index in the presence of observations with negative values." Mathematical Economics 14, no. 21 (2018): 37–50. http://dx.doi.org/10.15611/me.2018.14.04.

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39

Garner, Thesia I. "Consumer Expenditures and Inequality: An Analysis Based on Decomposition of the Gini Coefficient." Review of Economics and Statistics 75, no. 1 (1993): 134. http://dx.doi.org/10.2307/2109636.

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40

GVELESIANI, A. G. "The Estimation of Cash Income Structure by Using Gini Coefficient Decomposition in Ukraine." Demography and social economy, no. 2 (November 20, 2009): 153–61. http://dx.doi.org/10.15407/dse2009.02.153.

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41

Liberati, Paolo. "A Decomposition of the Sen Index of Poverty Using the Analysis of Gini." Journal of Human Development and Capabilities 16, no. 1 (2014): 94–105. http://dx.doi.org/10.1080/19452829.2014.956708.

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42

Hua, Yue, and Zhujia Yin. "Internal Migration Decision and Rural Income Inequality: A Counterfactual-Based Gini Decomposition Analysis." Emerging Markets Finance and Trade 53, no. 5 (2017): 1093–106. http://dx.doi.org/10.1080/1540496x.2016.1275557.

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43

Uprety, Pravat. "Measurement and Decomposition of Consumption Inequality in Nepal." Journal of Business and Social Sciences Research 4, no. 2 (2019): 53–69. http://dx.doi.org/10.3126/jbssr.v4i2.29483.

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This study aims at computing, comparing and decomposing the different inequality indices by rural and urban areas, sex of household head and ecological belt, so that policy maker can make the policy to reduce the inequality in Nepal. This study is based on the raw data taken from the 3rd Nepal Living Standard Survey-2011 conducted by the Central Bureau of Statistics (CBS). The study has used real consumption as the main variable to measure the inequality. In most of the cases five measures of inequality; Coefficient of variation (CV), Quantile Ratio Index, Gini Index, Generalised Entropy Index

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44

Panzera, Domenica, and Paolo Postiglione. "Measuring the Spatial Dimension of Regional Inequality: An Approach Based on the Gini Correlation Measure." Social Indicators Research 148, no. 2 (2019): 379–94. http://dx.doi.org/10.1007/s11205-019-02208-7.

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Abstract Traditional inequality measures fail to capture the geographical distribution of income. The failure to consider such distribution implies that, holding income constant, different spatial patterns provide the same inequality measure. This property is referred to as anonymity and presents an interesting question about the relationship between inequality and space. Particularly, spatial dependence could play an important role in shaping the geographical distribution of income and could be usefully incorporated into inequality measures. Following this idea, this paper introduces a new me

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45

Frappier-Desrochers, Monique, Ieuan Morgan, and Louise Ouellet. "Note sur quelques méthodes d’évaluation de l’inégalité dans la répartition des revenus par groupe, basées sur l’indice Gini." Articles 54, no. 3 (2009): 363–75. http://dx.doi.org/10.7202/800781ar.

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In this paper, we compare three methods presently used to split up the Gini index in order to evaluate the contribution of one particular factor (for example, age) to the value of this index: the B-M-P decomposition*, Paglin's measures and Love & Wolfson indexes. The problem with the decomposition of the Gini index is that it is impossible to cut it in two parts, one, representing the value of inequality attributable to the factor analysed and the second, inequality due to other factors. We also have to include the value of overlaps. This is clearly shown by Bhattacharya and Mahalanobis. B

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46

Shao, Bin. "Decomposition of the Gini index by income source for aggregated data and its applications." Computational Statistics 36, no. 3 (2021): 2135–59. http://dx.doi.org/10.1007/s00180-021-01069-4.

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47

Pradhan, Abhilas Kumar. "Impact of Common Property Forest Incomes on Rural Income Inequality: A Gini Decomposition Analysis." Journal of Resources, Energy and Development 11, no. 1-2 (2014): 25–40. http://dx.doi.org/10.3233/red-120110.

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48

Lau, Pong-Lung, and Tay T. R. Koo. "Multidimensional decomposition of Gini elasticities to quantify the spatiotemporality of travel and tourism distribution." Tourism Management 88 (February 2022): 104422. http://dx.doi.org/10.1016/j.tourman.2021.104422.

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49

Mussini, Mauro. "A matrix approach to the Gini index decomposition by subgroup and by income source." Applied Economics 45, no. 17 (2013): 2457–68. http://dx.doi.org/10.1080/00036846.2012.667553.

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50

Puerta, Carmen, and Ana Urrutia. "A Dual Decomposition of Some Rank Dependent Social Evaluation Functions." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 24, Suppl. 1 (2016): 107–28. http://dx.doi.org/10.1142/s0218488516400067.

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In the context of the dual decomposition of the rank dependent social evaluation functions we examine the k-PTS principle introduced by Gajdos and introduce a new property with balanced sensitivity to both tails of the distribution. In particular we analyse its implications for the S-Gini family.

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