Number of purchasers: 2, views: 2347
Readers community rating: votes 0
1. Anand, S. and Segal, P. «The Global Distribution of Income», in (eds.) Anthony B. Atkinson and François Bourguignon // Handbook of Income Distribution, Volume 2A. Amsterdam: North-Holland. 2015. P. 937–979.
2. Arcagni A., Francesco P. On the parameters of Zenga distribution // Statistical Methods and Applications. 2013. Vol. 22. P. 285-303.
3. Arcagni A., Zenga M. Application of Zenga’s distribution to a panel survey on household incomes of European Member States // Statistica and Applicazioni. 2013. Vol. 11. P. 79-102.
4. Atkinson A. B. On the Measurement of Inequality // Journal of Economic Theory. Vol. 2. 1970. P. 244-263.
5. Bellu L.G., Liberati P. Policy Impacts on Inequality: Welfare Based Measures of Inequality – the Atkison Index // Food and Agriculture Organization of the United Nations. 2006.
6. Berti P., Rigo P. Concentration Curve and Index, Zenga's // Wiley StatsRef: Statistics Reference Online. 2014. URL: https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781118445112.stat03450 (дата обращения 01.05.2019).
7. Burkholder P. University of Texas Inequality Project. 2003. URL: http://utip.gov.utexas.edu/tutorials/intro_ineq_studies.ppt (дата обращения 01.05.2019).
8. Cobham A., Schlogl L., Sumner A. Inequality and the Tails: The Palma Proposition and Ratio Revisited // UN DESA Working Paper 143. New York: UN DESA, 2015.
9. Cowell F. Measuring inequality /Oxford University Press, Handbook of Economic Inequality // Oxford: Oxford University Press, 2009.
10. Dalton H. The measurement of the inequality of incomes // The Economic Journal. 1920. Vol. 30. P. 348-361.
11. De Maio F. Income inequality measures. // J Epidemiol Community Health. 2007. Vol. 61 (10). P. 849–852.
12. Farris F. The Gini Index and Measures of Inequality // The American Mathematical Monthly. 2010. Vol. 117, No. 10. P. 851-864.
13. Gastwirth J. Is the Gini Index of Inequality Overly Sensitive to Changes in the Middle of the Income Distribution? // Statistics and Public Policy. 2017. 4:1. P. 1-11.
14. Greselin F., Pasquazzi L., Zitikis R. Contrasting the Gini and Zenga indices of economic inequality // Journal of Applied Statistics. 2013. Vol. 40 (2). P. 282-297.
15. Greselin F., Pasquazzi L., Zitikis R. Heavy tailed capital incomes: Zenga index, statistical inference, and ECHP data analysis // Extremes. March 2014. Vol. 17, Issue 1. P. 127-155.
16. Greselin F., Pasquazzi L., Zitikis R. Zenga's New Index of Economic Inequality, Its Estimation, and an Analysis of Incomes in Italy // Journal of Probability and Statistics. Volume 2010. URL: https://www.hindawi.com/journals/jps/2010/718905/ (дата обращения 01.05.2019).
17. Greselin F., Pellegrino S., Vernizzi A. Gini versus Zenga Inequality Index: A New Approach to Measuring Tax Redistribution and Progressivity // Conference Paper. Societ`a Italiana di Economia Pubblica – SIEP, XXIX Riunione Scientifica, Universit`a degli Studi di Catania. – 21-22 September, 2017.
18. Greselin F., Zitikis R. From the Classical Gini Index of Income Inequality to a New Zenga-Type Relative Measure of Risk: A Modeller’s Perspective. // Econometrics. 2018. 6 (1), 4. P. 1-20.
19. Habib E. On the decomposition of the Schutz coefficient: an exact approach with an application. // Electronic Journal of Applied Statistical Analysis EJASA. 2012. Vol. 5, Issue 2. P. 187-198.
20. Hale T. The Theoretical Basics of Popular Inequality Measures // University of Texas Inequality Project. 2014. P.2. URL: https://utip.lbj.utexas.edu/tutorials.html (дата обращения 01.05.2019).
21. Haughton J., Khandker Sh. Handbook on poverty and inequality // The International Bank for Reconstruction and Development. – The World Bank. Washington, DC, 2009.
22. Hicks D. The inequality adjusted Human Development Index: a constructive proposal // World Development. 1997. Vol. 25. P. 1283-1298.
23. Ibragimov M., Ibragimov R. Heavy tails and upper-tail inequality: The case of Russia // Empirical Economics. March 2018. Vol. 54, Issue 2. P. 823–837.
24. Ibragimov M., Ibragimov R., Karimov J., Yuldasheva G. Robust Analysis of Income Inequality Dynamics in Russia: t-Statistic Based Approaches. // The wiiw Balkan Observatory. Working Paper. 2012. Vol. 105. P. 1-37.
25. Kelly A. Measuring equity in educational effectiveness research: the properties and possibilities of quantitative indicators // International Journal of Research & Method in Education. 2015. Vol. 38, № 2. P. 115-136.
26. Klasen S., Scholl N., Lahoti R., Ochmann S., Vollmer S. Inequality – worldwide trends and current debates // Courant Research Centre: Poverty, Equity and Growth – Discussion Papers, No. 209. Göttingen, 2016.
27. Langel M., Tillé Y. Inference by linearization for Zenga’s new inequality index: A comparison with the Gini index // Metrika. 2012. Vol. 75(8). P. 1093–1110.
28. Milanovic B. A simple way to calculate the Gini coefficient, and some implications // Economics Letters. 1997. 56. P. 45-49.
29. Milanovic B. Global Income Inequality in Numbers: in History and Now // Global Policy. 2013. 4 (2) P. 198-208.
30. Mussini M., Zenga M. A longitudinal decomposition of Zenga’s new inequality index // Statistica and Applicazioni. 2013. Vol. 11. P. 63-77.
31. Novokmet F., Piketty T., Zucman G. From Soviets to oligarchs: inequality and property in Russia, 1905-2016 // The Journal of Economic Inequality, Springer,Society for the Study of Economic Inequality. 2018. Vol. 16 (2). P. 189-223. URL: http://piketty.pse.ens.fr/files/NPZ2017WIDworld.pdf#page=34&zoom=100,0,177 (дата обращения 02.05.2019 г.).
32. Ostasiewicz K., Mazurek E. Comparison of the Gini and Zenga indexes using some theoretical income distributions abstract // Operations Research and Decisions, Wroclaw University of Technology, Institute of Organization and Management. 2013. Vol. 1. P. 37-62.
33. Palma G. Has the Income Share of the Middle and Upper-middle been Stable over Time, or Is Its Current Homogeneity across the World the Outcome of a Process of Convergence? The «Palma Ratio» Revisited / Cambridge Working Papers in Economics 1437 // Cambridge: University of Cambridge, 2014.
34. Palma G. Homogeneous middles vs. heterogeneous tails, and the end of the ‘Inverted-U’: it’s all about the share of the rich // Development and Change. January 2011. Vol. 42, No. 1. P. 87-153.
35. Pasquazzi L., Zenga M. Components of Gini, Bonferroni, and Zenga Inequality Indexes for EU Income Data // Journal of Official Statistics. 2018. Vol. 34, № 1. P. 149-180.
36. Polisicchio M., Porro F. A comparison between Lorenz L(p) curve and Zenga I(p) curve // Statistica Applicata. 2009. Vol. 21 (3-4). P. 289-301.
37. Popova D., Rudberg A. Inequality in Income and Wealth in Russia / Global Encyclopedia of Public Administration, Public Policy, and Governance. – Switzerland: Springer, 2018. P. 1-12.
38. Punt С. et al. Measure of Poverty and Inequality: A Reference Paper. // PROVIDE Project Technical Paper. Elsenburg, October 2003. No 4.
39. Pyatt G., Chen C.-N., Fei J. The Distribution of Income by Factor Components // Quarterly Journal of Economics. 1980. November. P. 451-473.
40. Radaelli P. A subgroups decomposition of Zenga’s uniformity and inequality indexes // Statistica and Applicazioni. 2008. Vol. 6 (2). P. 117-136.
41. Radaelli P. On the decomposition by subgroups of the Gini index and Zenga’s uniformity and inequality indexes // International Statistical Review. 2010. Vol. 78. P. 81-101.
42. Sen A. On Income Inequality // Oxford: Clarendon Press, 1997.
43. Stuart A., Ord K. Kendall’s Advanced Theory of Statistics. Volume 1: Distribution Theory, 6th Edition // Holder Arnold, London, 1994.
44. UN. Inequality Measurement // Development Issues № 2. – October 2015. P. 2. URL: https://www.un.org/en/development/desa/policy/wess/ wess_dev_issues/dsp_policy_02.pdf (дата обращения 01.05.2019).
45. UNDP. Human Development Report 2016: Human Development for Everyone // United Nations Development Programme. New York, 2016.
46. Van Zanden J.L., Baten J., Foldvari, P., Van Leeuwen, B. The Changing Shape of Global Inequality 1820-2000: Exploring a new dataset // Review of Income and Wealth. 2014. Vol. 60, Issue 2. P. 279-297.
47. Zenga M. Decomposition by sources of the Gini, Bonferroni and Zenga inequality indexes // Statistica & Applicazioni. 2013. Vol. 11 (2). P. 133-161.
48. Zenga M. Decomposition of Zenga’s Inequality Index by Sources // Statistica & Applicazioni. 2012. Vol. 10. P. 3-31.
49. Zenga M. Inequality curve and inequality index based on the ratios between lower and upper arithmetic means // Statistica & Applicazioni. 2007 Vol. 5. P. 3-27.
50. Zenga M., Pasquazzi L., Polisicchio M., Zenga Ma. More on M. M. Zenga’s new three-parameter distribution for non-negative variables // Statistica and Applicazioni. 2011. Vol. 9. P. 5-33.
51. Zenga M., Pasquazzi L., Zenga Ma. First applications of a new three-parameter distribution for non-negative variables // Statistica and Applicazioni. 2012. Vol. 10. P. 131-147.
52. Авраамова Е.М., Малева Т.М. О причинах воспроизводства социально-экономического неравенства: что показывает ресурсный подход? // Вопросы экономики. 2014. № 7. С. 144-160.
53. Аганбегян А.Г. Преодоление бедности и сокращение неравенства по доходам и потреблению в России // ЭКО. 2017. №9. С. 66–86.
54. Аникин В.А., Тихонова Н.Е. Бедность и неравенство в странах БРИКС: российская специфика // Общество и экономика. 2016. № 1. С. 78-115.
55. Бурдяк А.Я. Обеспеченность жильем в постсоветской России: неравенство и проблема поколений // Журнал исследований социальной политики. 2015. Т. 13, № 2. С. 273–288.
56. Григорьев Л.М. Социальное неравенство в мире – интерпретация неочевидных тенденций // Журнал Новой экономической ассоциации. 2016. №3. С. 160-169.
57. Григорьев Л.М., Павлюшина В.А. Межстрановое неравенство: динамика и проблема стадий развития // Вопросы экономики. 2018. № 7. С. 5-29.
58. Григорьев Л.М., Салмина А.А. «Структура» социального неравенства современного мира: проблемы измерения // Социологический журнал. 2013. № 3. С. 5-21.
59. Джомо К.С., Попов В.В. Долгосрочные тенденции в распределении доходов // Журнал Новой экономической ассоциации. 2016. №3. С. 146-160.
60. Зубаревич Н.В. Неравенство доходов населения: пространственная проекция // Pro et Contra. 2013. Т. 17, № 6. С. 48-60.
61. Капелюшников Р.И. Неравенство: как не примитивизировать проблему // Вопросы экономики. 2017. № 4. С. 117-139.
62. Овчарова Л.Н. и др. Динамика монетарных и немонетарных характеристик уровня жизни российских домохозяйств за годы постсоветского развития: аналитический доклад / рук. авт. колл. Л.Н. Овчарова, А.Я. Бурдяк, А.И. Пишняк, Д.О. Попова, Р.И. Попова, А.М. Рудберг // М.: Фонд «Либеральная Миссия», 2014.
63. Овчарова Л.Н., Попова Д.О., Рудберг А.М. Декомпозиция факторов неравенства доходов в современной России // Журнал новой экономической ассоциации. 2016. № 3 (31). С. 170-186. URL: http://journal.econorus.org/pdf/NEA-31.pdf (дата обращения 30.04.2019).
64. Салмина А.А. Избыточное неравенство и развитие человеческого потенциала // Доклад о человеческом развитии в Российской Федерации за 2014 год / Науч. ред.: Л.М. Григорьев, С.Н. Бобылев // М.: Аналитический центр при Правительстве Российской Федерации, 2014. Гл. 5. С. 85-105.
65. Стукаленко Е.А. Межрегиональная дифференциация доходов населения в России // Экономическое развитие стран евразийской интеграции: монография / под ред. Г.П. Литвинцевой // Новосибирск: Изд-во НГТУ, 2017. С. 102-11