Artykuły w czasopismach na temat „Inequality”

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1

Chowdhury, Mohammad S. R. "A G-KKM type theorem and its applications to minimax inequalities on G-convex spaces". Journal of Applied Mathematics and Stochastic Analysis 11, nr 4 (1.01.1998): 493–505. http://dx.doi.org/10.1155/s1048953398000409.

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A G-KKM type theorem is obtained on G-convex spaces. As application, a generalization of Ky Fan's minimax inequality to non-compact sets on G-convex spaces is first obtained. As special cases of this minimax inequality, some new minimax inequalites are obtained. Four fixed point theorems and four equivalent formulations of the second minimax inequality are also obtained.
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2

Heryanah, Heryanah. "KESENJANGAN PENDAPATAN DI INDONESIA: BERDASARKAN SUSENAS 2008, 2011 DAN 2013". Jurnal BPPK : Badan Pendidikan dan Pelatihan Keuangan 10, nr 2 (18.12.2017): 16. http://dx.doi.org/10.48108/jurnalbppk.v10i2.26.

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The purpose of this essay is to potray income inequality in Indonesia based on Data of SUSENAS 2008, 2011 and 2013. Firt chapter describe inequality in Indonesia by using 3 kinds of inequality measurements, namely: World Bank Criterion, Gini Indeks and Theil Indeks. Second chapter analize income inequality by decompose inequality using theil indeks decomposition technique into inequalty between locations, education, age groups and household member. Tulisan ini bertujuan untuk melihat kondisi kesenjangan pendapatan di Indonesia berdasarkan data SUSENAS 2008, 2011 dan 2013. Bagian pertama menjabarkan kesenjangan di Indonesia dengan menggunakan 3 ukuran kesenjangan: Kriteria Bank Dunia, gini koefisien dan theil indeks. Bagian kedua menjabarkan teknik dekomposisi indeks theil, dimana kesenjangan pendapatan dianalisa dengan menguraikan menjadi berbagai kategori, yaitu: kesenjangan antar perkotaan dan pedesaan, kabupaten/kota, antar provinsi, kelompok pendidikan, gender, kelompok usia dan jumlah anggota rumahtangga.
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3

Gächter, Simon. "Visible inequality breeds more inequality". Nature 526, nr 7573 (październik 2015): 333–34. http://dx.doi.org/10.1038/526333a.

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4

Keun Ryu, Hang, i Daniel J. Slottje. "Income inequality versus utility inequality". Communications in Statistics - Theory and Methods 46, nr 8 (25.04.2016): 3631–40. http://dx.doi.org/10.1080/03610926.2015.1069348.

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5

Lin, C. S. "Heinz’s inequality and Bernstein’s inequality". Proceedings of the American Mathematical Society 125, nr 8 (1997): 2319–25. http://dx.doi.org/10.1090/s0002-9939-97-03811-2.

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6

Yamada, Akira. "Saitoh's inequality and Opial's inequality". Mathematical Inequalities & Applications, nr 3 (2011): 523–28. http://dx.doi.org/10.7153/mia-14-44.

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7

Heppler, Jason A. "Renewing Inequality and Mapping Inequality". American Quarterly 70, nr 3 (2018): 721–25. http://dx.doi.org/10.1353/aq.2018.0058.

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8

Wright, Simon, i Emil O. W. Kirkegaard. "Intelligence Inequality and Income Inequality". Comparative Sociology 22, nr 2 (19.04.2023): 298–319. http://dx.doi.org/10.1163/15691330-bja10077.

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Abstract This article evaluates the relationship between inequality in cognitive test scores across countries and income inequality. By meta-analyzing the standard deviations in PISA results from 2000 to 2018, the authors construct a measure of intelligence inequalities across countries. They then test this measure to investigate if it has any association with income inequality as measured by the gini index. Across all models and subsamples, the authors do not find a positive association between intelligence inequality and income inequality. In models where the coefficient is statistically significant, the direction is unexpectedly negative, implying greater intelligence inequality is associated with lower income inequality. This is contrary to theoretical predictions of a positive association between these variables. Finally, the authors also find some evidence that greater mean intelligence is associated with lower levels of income inequality.
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9

Sitnik, Sergey Mikhaylovich, i Fozy M. Dannan. "THE DAMASCUS INEQUALITY". Issues of Analysis 23, nr 2 (grudzień 2016): 3–19. http://dx.doi.org/10.15393/j3.art.2016.3350.

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10

Lahagu, Miktoni, Rostin Rostin i Samsul Barani. "ANALISIS KETIMPANGAN PEMBANGUNAN REGIONAL WILAYAH KABUPATEN/KOTA PROVINSI SULAWESI TENGGARA TAHUN 2016-2020". Jurnal Ekonomi Pembangunan (JEP) UHO 12, nr 1 (7.09.2022): 720. http://dx.doi.org/10.57206/jep_uho.v12i1.27651.

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The purpose of this study was to determine the level of regional development inequality in the regency/City of southeast Sulawesi Province. The analytical tool used is quantitative in the from of descriptive data analysis and secondry data with the Williamson Indeks analysis method, which is to compare the level of per capita income and population during 2016-2020. Based on the result of calculations using the Development Inequalty Analysis, it fluctuates and decreases, in 2016 it has an inequality of 0.99 while in 2020 it has decreased by o.88. however, if the data are averenged, the regional development inequality level of the regency/city of southeast Sulawesi Provinceis in the range of the high development inequality level category From year to year. And the factor that cause inequality are the increasing number of people who are increasing but the available business fields are still inadequate so that the low level of community income will affect the inequality of development. In addition, the management of natural resource content, demographic conditions, smooth mobility of goods and services, developing all the potensials in each sector and so on can be a solution to reduce development inequality in the disctricts/cities of southeast Sulawesi Province.
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11

Bearse, Ph.D., Peter. "Inequality". Advances in Politics and Economics 2, nr 2 (15.03.2019): 68. http://dx.doi.org/10.22158/ape.v2n2p68.

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<p><em>Inequality has become a malignant, contagious disease. It feeds, it grows, it attaches itself to nearly all aspects of life. It poisons or impedes many of our relationships. Above all, it is a threat to the health and stability of our democratic republic. It has become the major issue of our time. We can see more clearly how and why it has become so as we review eight major features of our society. Refer to the diagram below as you read. </em><em></em></p>
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12

Diamond, Derek. "Inequality". Géographes associés 18, nr 1 (1996): 73–75. http://dx.doi.org/10.3406/geoas.1996.2014.

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13

Moore, Andrew, i Larry S. Temkin. "Inequality." Philosophical Quarterly 45, nr 178 (styczeń 1995): 114. http://dx.doi.org/10.2307/2219859.

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14

Narveson, Jan, i Larry S. Temkin. "Inequality." Philosophy and Phenomenological Research 56, nr 2 (czerwiec 1996): 482. http://dx.doi.org/10.2307/2108539.

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15

Nowicki, Krzysztof, i Michael J. Klass. "inequality". Annals of Probability 28, nr 2 (kwiecień 2000): 851–62. http://dx.doi.org/10.1214/aop/1019160262.

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16

GANDY, OSCAR H., i JONATHAN BARON. "Inequality". Communication Research 25, nr 5 (październik 1998): 505–27. http://dx.doi.org/10.1177/009365098025005003.

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17

Moulder, E. "Inequality". BMJ 323, nr 7306 (28.07.2001): 240. http://dx.doi.org/10.1136/bmj.323.7306.240.

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18

Jasso, Guillermina. "Linking Input Inequality and Outcome Inequality". Sociological Methods & Research 50, nr 3 (27.07.2021): 944–1005. http://dx.doi.org/10.1177/00491241211014245.

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Inequality often appears in linked pairs of variables. Examples include schooling and income, income and consumption, and wealth and happiness. Consider the famous words of Veblen: “wealth confers honor.” Understanding inequality requires understanding input inequality, outcome inequality, and the relation between the two—in both inequality between persons and inequality between subgroups. This article contributes to the methodological toolkit for studying inequality by developing a framework that makes explicit both input inequality and outcome inequality and by addressing three main associated questions: (1) How do the mechanisms for generating and altering inequality differ across inputs and outcomes? (2) Which have more inequality—inputs or outcomes? (3) Under what conditions, and by what mechanisms, does input inequality affect outcome inequality? Results include the following: First, under specified conditions, distinctive mechanisms govern inequality in inputs and inequality in outcomes. Second, input inequality and outcome inequality can be the same or different; if different, whether inequality is greater among inputs or outcomes depends on the configuration of outcome function, types of inputs, distributional form of and inequality in cardinal inputs, and number of and associations among inputs. Third, the link between input inequality and outcome inequality is multiform; it can be nonexistent, linear, or nonlinear, and if nonlinear, it can be concave or convex. More deeply, this work signals the formidable empirical challenges in studying inequality, but also the fast growing toolbox. For example, even if the outcome distribution is difficult to derive, fundamental theorems on the variance make it possible to analyze the input–outcome inequality connection. Similarly, within specified distributions, the general inequality parameter makes it possible to express results in terms of both measures of overall inequality and measures of subgroup inequality.
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19

Sen, Amartya K. "From Income Inequality to Economic Inequality". Southern Economic Journal 64, nr 2 (październik 1997): 384–401. http://dx.doi.org/10.1002/j.2325-8012.1997.tb00063.x.

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20

Nagasawa, Masao. "On Heisenberg's inequality and Bell's inequality". Kodai Mathematical Journal 35, nr 1 (marzec 2012): 33–51. http://dx.doi.org/10.2996/kmj/1333027253.

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21

Sen, Amartya K. "From Income Inequality to Economic Inequality". Southern Economic Journal 64, nr 2 (październik 1997): 383. http://dx.doi.org/10.2307/1060857.

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22

Attanasio, Orazio, Gabriella Berloffa, Richard Blundell i Ian Preston. "From Earnings Inequality to Consumption Inequality". Economic Journal 112, nr 478 (1.03.2002): C52—C59. http://dx.doi.org/10.1111/1468-0297.00030.

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23

Aguiar, Mark, i Mark Bils. "Has Consumption Inequality Mirrored Income Inequality?" American Economic Review 105, nr 9 (1.09.2015): 2725–56. http://dx.doi.org/10.1257/aer.20120599.

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We revisit to what extent the increase in income inequality since 1980 was mirrored by consumption inequality. We do so by constructing an alternative measure of consumption expenditure using a demand system to correct for systematic measurement error in the Consumer Expenditure Survey. Our estimation exploits the relative expenditure of high- and low-income households on luxuries versus necessities. This double differencing corrects for measurement error that can vary over time by good and income. We find consumption inequality tracked income inequality much more closely than estimated by direct responses on expenditures. (JEL D31, D63, E21)
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24

Fujii, Masatoshi, i Eizaburo Kamei. "Ando–Hiai inequality and Furuta inequality". Linear Algebra and its Applications 416, nr 2-3 (lipiec 2006): 541–45. http://dx.doi.org/10.1016/j.laa.2005.12.001.

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25

Minard, Paul. "Is China’s regional inequality ethnic inequality?" Letters in Spatial and Resource Sciences 13, nr 3 (9.11.2020): 297–314. http://dx.doi.org/10.1007/s12076-020-00260-3.

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26

Tuấn, Lê Anh. "CONSTRUCT INTEGRAL INEQUALITY FROM ALGEBRAIC INEQUALITY". Tạp chí Khoa học và Công nghệ - Đại học Thái Nguyên 225, nr 02 (28.02.2020): 65–70. http://dx.doi.org/10.34238/tnu-jst.2020.02.2707.

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Bất đẳng thức tích phân là một phần trong nội dung bất đẳng thức. Đây là một nội dung khó. Nó thu hút được nhiều nhà toán học quan tâm, nghiên cứu và phát triển. Bất đẳng thức tích phân được sử dụng nhiều trong các bài toán tối ưu, giải tích, phương trình vi phân, phương trình tích phân… Trong bài báo này, bằng việc sử dụng tính chất bảo tồn thứ tự của giới hạn, chúng tôi mô tả việc xây dựng một số bất đẳng thức tích phân từ một số bất đẳng thức đại số đã biết.
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27

Houle, Christian. "Does economic inequality breed political inequality?" Democratization 25, nr 8 (27.06.2018): 1500–1518. http://dx.doi.org/10.1080/13510347.2018.1487405.

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28

Hopkins, Ed, i Tatiana Kornienko. "Which Inequality? The Inequality of Endowments versus the Inequality of Rewards". American Economic Journal: Microeconomics 2, nr 3 (1.08.2010): 106–37. http://dx.doi.org/10.1257/mic.2.3.106.

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We introduce a new distinction between inequality in initial endowments (e.g., ability, inherited wealth) and inequality of what one can obtain as rewards (e.g., prestigious positions, money). We show that, when society allocates resources via tournaments, these two types of inequality have opposing effects on equilibrium behavior and well-being. Greater inequality of rewards hurts most people—both the middle class and the poor—who are forced into greater effort. Conversely, greater inequality of endowments benefits the middle class. Thus, the correctness of our intuitions about the implications of inequality is hugely affected by the type of inequality considered. (JEL D63, D82)
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29

Simangunsong, Humala, Baldry Pitre Stewart i Debortoli Debortoli. "The Impact of Economic Inequality on Social Disparities: A Quantitative Analysis". Jurnal Sosial, Sains, Terapan dan Riset (Sosateris) 11, nr 2 (30.06.2023): 122–30. http://dx.doi.org/10.35335/mdjzzw52.

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This quantitative study examines the complex relationship between economic inequality and social inequities, focusing on educational attainment. The study examines how Gini coefficient-measured economic disparity affects educational attainment in hypothetical countries. This study uses a linear regression model to examine how economic inequality affects social outcomes. A statistically substantial positive correlation exists between the Gini coefficient and educational attainment discrepancy. Educational attainment disparity increases by 2.5 years per unit rise in the Gini coefficient, according to the calculated coefficient. This supports the idea that economic inequality increases education gaps, prolonging cycles of disadvantage for vulnerable populations. The study underlines the intricacy of these processes by conceding that regression analysis cannot prove causation. Economic inequality affects educational attainment disparity through policy frameworks, institutional structures, and cultural norms. This highlights the necessity for extensive policy responses to address these issues. The policy ramifications of this study are significant. The findings emphasize the need for fair access to quality education, especially for disadvantaged communities. Targeted actions are needed to reduce economic inequality's impact on education and promote inclusivity. This study examined educational attainment, but its approach and findings are important. The association between economic inequality and social differences is multifaceted, begging for further study. This study adds to the debate between economic inequality and social inequality. This study emphasizes the need for educated and context-sensitive strategies to reduce gaps, enhance social mobility, and create more equitable society as societies face inequality.
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30

Kartseva, M., i P. Kuznetsova. "Is income inequality fair in Russia? Inequality of opportunity and income inequality". Applied Econometrics 58 (2020): 5–31. http://dx.doi.org/10.22394/1993-7601-2020-58-5-31.

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31

Wu, Shanhe, i Lokenath Debnath. "Generalizations of a parameterized Jordan-type inequality, Janous’s inequality and Tsintsifas’s inequality". Applied Mathematics Letters 22, nr 1 (styczeń 2009): 130–35. http://dx.doi.org/10.1016/j.aml.2008.01.005.

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32

Milovanovic, Gradimir. "Ostrowski type inequalities and some selected quadrature formulae". Applicable Analysis and Discrete Mathematics, nr 00 (2020): 54. http://dx.doi.org/10.2298/aadm200609054m.

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Some selected Ostrowski type inequalities and a connection with numerical integration are studied in this survey paper, which is dedicated to the memory of Professor D. S. Mitrinovic, who left us 25 years ago. His significant inuence to the development of the theory of inequalities is briefly given in the first section of this paper. Beside some basic facts on quadrature formulas and an approach for estimating the error term using Ostrowski type inequalities and Peano kernel techniques, we give several examples of selected quadrature formulas and the corresponding inequalities, including the basic Ostrowski's inequality (1938), inequality of Milovanovic and Pecaric (1976) and its modifications, inequality of Dragomir, Cerone and Roumeliotis (2000), symmetric inequality of Guessab and Schmeisser (2002) and asymmetric in-equality of Franjic (2009), as well as four point symmetric inequalites by Alomari (2012) and a variant with double internal nodes given by Liu and Park (2017).
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33

Aslan, Goksu, Corinne Deléchat, Monique Newiak i Fan Yang. "Inequality in Financial Inclusion and Income Inequality". IMF Working Papers 17, nr 236 (2017): 1. http://dx.doi.org/10.5089/9781484324905.001.

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34

Amin, Elham, i Asma Sabermahani. "Gender Inequality Index Appropriateness for Measuring Inequality". Journal of Evidence-Informed Social Work 14, nr 1 (2.01.2017): 8–18. http://dx.doi.org/10.1080/23761407.2016.1264901.

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35

Wu, Shanhe. "Improvement of Aczél's Inequality and Popoviciu's Inequality". Journal of Inequalities and Applications 2007 (2007): 1–10. http://dx.doi.org/10.1155/2007/72173.

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36

Liu, Haiping, i Ling Zhu. "New Strengthened Carleman's Inequality and Hardy's Inequality". Journal of Inequalities and Applications 2007, nr 1 (2007): 084104. http://dx.doi.org/10.1155/2007/84104.

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37

Heath-Brown, D. R. "Weyl's Inequality, Hua's Inequality, and Waring's Problem". Journal of the London Mathematical Society s2-38, nr 2 (październik 1988): 216–30. http://dx.doi.org/10.1112/jlms/s2-38.2.216.

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38

Nishi, Akihiro, i Nicholas A. Christakis. "Human behavior under economic inequality shapes inequality". Proceedings of the National Academy of Sciences 112, nr 52 (16.12.2015): 15781–82. http://dx.doi.org/10.1073/pnas.1522090112.

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39

McCarthy, P. C. "A sharp inequality related to Moser's inequality". Mathematika 40, nr 2 (grudzień 1993): 357–66. http://dx.doi.org/10.1112/s0025579300007117.

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40

Spiegel, Uriel. "Income Inequality VS. Standard of Living Inequality". American Economist 52, nr 1 (marzec 2008): 49–57. http://dx.doi.org/10.1177/056943450805200104.

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41

Uchiyama, Mitsuru. "An operator inequality related to Jensen’s inequality". Proceedings of the American Mathematical Society 129, nr 11 (9.04.2001): 3339–44. http://dx.doi.org/10.1090/s0002-9939-01-06130-5.

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42

Fan, Sheng-jun. "Moment inequality and Hölder inequality for BSDEs". Acta Mathematicae Applicatae Sinica, English Series 25, nr 1 (4.11.2008): 11–20. http://dx.doi.org/10.1007/s10255-007-7035-4.

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43

Veljan, Darko, i Shan-He Wu. "Parametrized Klamkin's inequality and improved Euler's inequality". Mathematical Inequalities & Applications, nr 4 (2008): 729–37. http://dx.doi.org/10.7153/mia-11-62.

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44

Ben-Ari, Iddo, i Keith Conrad. "Maclaurin's Inequality and a Generalized Bernoulli Inequality". Mathematics Magazine 87, nr 1 (luty 2014): 14–24. http://dx.doi.org/10.4169/math.mag.87.1.14.

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45

Creedy, John. "Interpreting inequality measures and changes in inequality". New Zealand Economic Papers 50, nr 2 (lipiec 2015): 177–92. http://dx.doi.org/10.1080/00779954.2015.1045929.

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46

Lu, Siyuan. "Correlation between Educational Inequality and Income Inequality". BCP Education & Psychology 7 (7.11.2022): 400–403. http://dx.doi.org/10.54691/bcpep.v7i.2694.

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The study of the relationship between education and income inequality is not a new topic, and scholars have been concerned with this issue for a long time. For the sake of social equity and poverty alleviation, governments should strengthen education for the poor. In recent years, with new advances in theories of economic growth and economic development and the emergence of new data, academic interest in the issue of income distribution has begun to grow again, focusing mainly on the determinants and dynamics of income distribution. Among them, the relationship between education and income inequality, which is an important form of human capital accumulation, has naturally become a hot issue in economics. This paper summarizes and reviews the recent studies on the relationship between education and income inequality from both theoretical and empirical perspectives.
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47

Mathews, Timothy, i Jesse A. Schwartz. "Comparisons of utility inequality and income inequality". Economics Letters 178 (maj 2019): 18–20. http://dx.doi.org/10.1016/j.econlet.2019.02.015.

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48

Kuhn, Andreas. "The subversive nature of inequality: Subjective inequality perceptions and attitudes to social inequality". European Journal of Political Economy 59 (wrzesień 2019): 331–44. http://dx.doi.org/10.1016/j.ejpoleco.2019.04.004.

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49

GULSHAN, GHAZALA, RASHIDA HUSSAIN i ASGHAR ALI. "POST QUANTUM-HERMITE-HADAMARD INEQUALITIES FOR DIFFERENTIABLE CONVEX FUNCTIONS WITH A CRITICAL POINT". Journal of Science and Arts 21, nr 2 (30.06.2021): 337–46. http://dx.doi.org/10.46939/j.sci.arts-21.2-a02.

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In this study, we obtained some new post quantum-Hermite-Hadamard inequalities for differentiable convex function with critical point by using generalized (p, q)- Hermite-Hadamard Inequality. The perseverance of this article is to establish different results on the left-hand side of (p,q)-Hermite-Hadamard inequality for differentiable convex function along with critical point. Special cases were obtained for different (p, q)-Hermite Hadamard inequalies with the critical point c for some special values of q.
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50

Dr.B.Penchalaiah, Dr B. Penchalaiah, i Dr P. Sobha Dr.P.Sobha. "Socio-Economic Inequality and its Effect on Healthcare Delivery in India: Inequality and Healthcare". Paripex - Indian Journal Of Research 3, nr 2 (15.01.2012): 275–77. http://dx.doi.org/10.15373/22501991/feb2014/95.

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