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Bounds for Gini’s mean difference based on first four moments, with some applications. (English) Zbl 07823694

Summary: In this paper, we obtain lower and upper bounds for the Gini mean difference for the case of independent and identically distributed random variables based on the information about mean, variance, skewness, and kurtosis of the distribution. We also obtain some relationships between the three dispersion measures in the general case. The established results improve some well-known bounds and inequalities. These results are then used to sharpen some inequalities concerning Gini’s index, order statistics and premium principles. Examples demonstrate that the proposed bounds perform much better than the existing ones.

MSC:

62-XX Statistics
Full Text: DOI

References:

[1] Albrecher, H.; Beirlant, J.; Teugels, JL, Reinsurance: actuarial and statistical aspects (2017), Hoboken: Wiley, Hoboken · Zbl 1376.91004
[2] Arnold, BC, Distribution-free bounds on the mean of the maximum of a dependent sample, SIAM J Appl Math, 38, 163-167 (1980) · Zbl 0444.62054
[3] Arnold, BC, \(P\)-norm bounds on the expectation of the maximum of a possibly dependent sample, J Multivar Anal, 17, 316-332 (1985) · Zbl 0584.62072
[4] Arnold, BC; Balakrishnan, N., Relations, bounds, and approximations for order statistics (1989), New York: Springer, New York · Zbl 0703.62064
[5] Arnold, BC; Groeneveld, RA, Bounds on expectations of linear systematic statistics based on dependent samples, Ann Stat, 7, 220-223 (1979) · Zbl 0398.62036
[6] Balakrishnan, N.; Balasubramanian, K., Equivalence of Hartley-David-Gumbel and Papathanasiou bounds and some further remarks, Stat Probab Lett, 16, 39-41 (1993)
[7] Balakrishnan, N.; Rao, CR, Handbook of statics 16: order statistics: theory & methods (1998), Amstedam: North-Holland, Amstedam · Zbl 0894.00024
[8] Balakrishnan, N.; Rao, CR, Handbook of statistics 17: order statistics: applications (1998), Amstedam: North-Holland, Amstedam · Zbl 0897.00016
[9] Berrebi, ZM; Silber, J., Dispersion, asymmetry and the Gini index of inequality, Int Econ Rev, 28, 2, 331-338 (1987) · Zbl 0673.90018
[10] Blàzquez, LF; Salamanca-Miño, B., On Terrel’s characterization of uniform distribution, Stat Pap, 40, 335-342 (1999) · Zbl 0934.62016
[11] Bobkov, SG, Isoperimetric and analytic inequalities for log-concave probability measures, Ann Probab, 27, 4, 1903-1921 (1999) · Zbl 0964.60013
[12] Cerone, P.; Dragomir, SS, Bounds for the Gini mean difference via the Sonin identity, Comput Math Appl, 50, 599-609 (2005) · Zbl 1129.60302
[13] Cerone, P.; Dragomir, SS, Bounds for the Gini mean difference of continuous distributions defined on finite intervals (I), Appl Math Lett, 20, 782-789 (2007) · Zbl 1131.60010
[14] Chattopadhyay, B.; De, SK, Estimation of Gini index within pre-specified error bound, Econometrics, 4, 30 (2016)
[15] Dang, X.; Sang, H.; Weatherall, L., Gini covariance matrix and its affine equivariant version, Stat Pap, 60, 3, 291-316 (2019) · Zbl 1419.62129
[16] David, HA; Nagaraja, HN, Order statistics (2003), Hoboken: Wiley, Hoboken · Zbl 1053.62060
[17] Denneberg, D., Premium calculation: why standard deviation should be replaced by absolute deviation, ASTIN Bull, 20, 181-190 (1990)
[18] Dorfman, R., A formula for the Gini coefficient, Rev Econ Stat, 61, 1, 146-149 (1979)
[19] Eisenberg, B., The multivariate Gini ratio, Stat Probab Lett, 96, 292-298 (2015) · Zbl 1396.62271
[20] Furman, E.; Wang, R.; Zitikis, R., Gini-type measures of risk and variability: Gini shortfall, capital allocation and heavy-tailed risks, J Bank Financ, 83, 70-84 (2017)
[21] Furman, E.; Kye, Y.; Su, J., Computing the Gini index: a note, Econ Lett, 185, 108753 (2019) · Zbl 1425.91356
[22] Gastwirth, J., The estimation of the Lorenz curve and Gini index, Rev Econ Stat, 54, 306-316 (1972)
[23] Gastwirth, JL; Glauberman, M., The interpolation of the Lorenz curve and Gini index from grouped data, Econometrica, 44, 479-483 (1976) · Zbl 0332.65009
[24] Gini, C., Variabilitá e Metabilitá, contributo allo studia della distribuzioni e relationi statistiche, Studi Econ-Gicenitrici dell’Univ. di Coglani, 3, 1-158 (1912)
[25] Giorgi, GM; Gigliarano, C., The Gini concentration index: a review of the inference literature, J Econ Surv, 31, 1130-1148 (2017)
[26] Goovaerts, MJ; De Vijlder, FE; Haezendonck, J., Insurance premiums: theory and applications (1984), Amsterdam: North-Holland, Amsterdam · Zbl 0532.62082
[27] Gumbel, EJ, The maxima of the mean largest value and of the range, Ann Math Stat, 25, 76-84 (1954) · Zbl 0055.12708
[28] Hardy, GH; Littlewood, JE; Polya, G., Inequalities (1952), Cambridge: Cambridge University Press, Cambridge · Zbl 0047.05302
[29] Hartley, HO; David, HA, Universal bounds for mean range and extreme observation, Ann Math Stat, 25, 85-99 (1954) · Zbl 0055.12801
[30] Haye, RL; Zizler, P., The Gini mean difference and variance, Metron, 77, 43-52 (2019) · Zbl 1427.62137
[31] Hildebrand, DK, Kurtosis measures bimodality?, Am Stat, 25, 1, 42-43 (1971)
[32] Hu, TZ; Chen, H., On a family of coherent measures of variability, Insur Math Econ, 95, 173-182 (2020) · Zbl 1452.91273
[33] Johnson, NL; Kotz, S.; Balakrishnan, N., Continuous univariate distributions-volume 2 (1995), New York: Wiley, New York · Zbl 0821.62001
[34] Kaas, R.; Goovaerts, MJ; Dhaene, J.; Denuit, M., Modern actuarial risk theory (2008), Berlin: Springer, Berlin · Zbl 1148.91027
[35] Kendall, MG; Stuart, A., The advanced theory of statistics (1963), New York: Macmillan Publishing, New York · Zbl 0416.62001
[36] Liang, X.; Wang, R.; Young, R., Optimal insurance to maximize RDEU under adistortion-deviation premium principle, Insur Math Econ, 104, 35-59 (2022) · Zbl 1492.91304
[37] Masaki, Y.; Hanasaki, N.; Takahashi, K.; Hijioka, Y., Global-scale analysis on future changes in flow regimes using Gini and Lorenz asymmetry coefficients, Water Resour Res, 50, 4054-4078 (2014)
[38] Mitrinović, DS; Pečarić, JE; Fink, AM, Classical and new inequahties and analysis (1993), Dordrecht: Kluwer Academic, Dordrecht · Zbl 0771.26009
[39] Moors, JJA, The meaning of kurtosis: Darlington reexamined, Am Stat, 40, 283-284 (1986)
[40] Papathanasiou, V., Some characterizations of distributions based on order statistics, Stat Probab Lett, 9, 145-147 (1990) · Zbl 0686.62007
[41] Sen, PK, The Gini coefficient and poverty indexes: some reconciliations, J Am Stat Assoc, 81, 1050-1057 (1986) · Zbl 0615.62147
[42] Soares, TC; Fernandes, EA; Toyoshima, SH, The CO2 emission Gini index and the environmental efficiency: an analysis for 60 leading world economies, Economia, 19, 266-277 (2018)
[43] Wang, Q.; Wang, R.; Wei, Y., Distortion riskmetrics on general spaces, ASTIN Bull, 50, 3, 827-851 (2020) · Zbl 1454.91208
[44] Xu, K., \(U\)-statistics and their asymptotic results for some inequality and poverty measures, Economet Rev, 26, 5, 567-577 (2007) · Zbl 1122.62106
[45] Yitzhaki, S.; Schechtman, E., The Gini methodology—a primer on a statistical methodology (2013), New York: Springer, New York · Zbl 1292.62013
[46] Young, VR, Premium principles (2014), Hoboken: Wiley, Hoboken
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