Abstract
In the present work, we investigate the applications of cumulative entropy as a tool in income analysis. The relationships the cumulative entropy has with income gap ratio, Lorenz curve, Gini index, Bonferroni curve and Zenga curve are provided. Applications of the results to real data are illustrated.
References
[1] A. B. Atkinson, On the measurement of inequality, J. Econom. Theory 2 (1970), 244–263. 10.1016/0022-0531(70)90039-6Search in Google Scholar
[2] F. Belzunce, J. Candel and J. M. Ruiz, Ordering and asymptotic properties of residual income distributions, Sankhyā Ser. B 60 (1998), no. 2, 331–348. Search in Google Scholar
[3] F. A. Cowell and K. Kuga, Additivity and the entropy concept: An axiomatic approach to inequality measurement, J. Econom. Theory 25 (1981), no. 1, 131–143. 10.1016/0022-0531(81)90020-XSearch in Google Scholar
[4] A. Di Crescenzo and M. Longobardi, On cumulative entropies, J. Statist. Plann. Inference 139 (2009), no. 12, 4072–4087. 10.1016/j.jspi.2009.05.038Search in Google Scholar
[5] F. Greselin, L. Pasquazzi and R. Zitikis, Zenga’s new index of economic inequality, its estimation, and an analysis of incomes in Italy, J. Probab. Stat. 2010 (2010), Article ID 718905. 10.1155/2010/718905Search in Google Scholar
[6] N. H. Haritha, N. U. Nair and K. R. M. Nair, Modelling incomes using generalized lambda distributions, J. Income Distrib. 17 (2008), 37–51. 10.25071/1874-6322.17811Search in Google Scholar
[7] N. U. Nair, K. R. M. Nair and N. Sreelakshmi, Some properties of new Zenga curve, Stat. Appl. 10 (2012), 43–52. Search in Google Scholar
[8] N. U. Nair, P. G. Sankaran and N. Balakrishnan, Quantile-Based Reliability Analysis, Stat. Ind. Technol., Springer, New York, 2013. 10.1007/978-0-8176-8361-0Search in Google Scholar
[9] N. U. Nair, P. G. Sankaran and B. Vineshkumar, The Govindarajulu distribution: Some properties and applications, Comm. Statist. Theory Methods 41 (2012), no. 24, 4391–4406. 10.1080/03610926.2011.573168Search in Google Scholar
[10] J. K. Ord, G. P. Patil and C. Taillie, The choice of a distribution to describe personal incomes, unpublished manuscript, 1978. Search in Google Scholar
[11] J. K. Ord, G. P. Patil and C. Taillie, The choice of a distribution to describe personal incomes, Statistical Distributions in Scientific Work. Vol. 6, NATO Adv. Study Inst. Ser. C Math. Phys. Sci. 79, Reidel, Dordrecht (1981), 193–201. 10.1007/978-94-009-8555-1_13Search in Google Scholar
[12]
M. Polisicchio,
The continuous random variable with uniform point inequality measure
[13] S. Pundir, S. Arora and K. Jain, Bonferroni curve and the related statistical inference, Statist. Probab. Lett. 75 (2005), no. 2, 140–150. 10.1016/j.spl.2005.05.024Search in Google Scholar
[14] M. Rao, Y. Chen, B. C. Vemuri and F. Wang, Cumulative residual entropy: A new measure of information, IEEE Trans. Inform. Theory 50 (2004), no. 6, 1220–1228. 10.1109/TIT.2004.828057Search in Google Scholar
[15] N. Rohde, An alternative functional form for estimating the Lorenz curve, Econom. Lett. 105 (2009), no. 1, 61–63. 10.1016/j.econlet.2009.05.015Search in Google Scholar
[16] A. Sen, Poverty: An ordinal approach to measurement, Econometrica 44 (1976), no. 2, 219–231. 10.2307/1912718Search in Google Scholar
[17] P. K. Sen, The Gini coefficient and poverty indexes: Some reconciliations, J. Amer. Statist. Assoc. 81 (1986), no. 396, 1050–1057. 10.1080/01621459.1986.10478372Search in Google Scholar
[18] N. Takayama, Poverty, income inequality, and their measures: Professor Sen’s axiomatic approach reconsidered, Econometrica 47 (1979), no. 3, 747–759. 10.2307/1910420Search in Google Scholar
[19] A. Tarsitano, Fitting the generalized lambda distribution to income data, COMPSTAT 2004—Proceedings in Computational Statistics. Springer, Heidelberg, (2004), 1861–1867. Search in Google Scholar
[20] H. Theil, Economics and Information Theory, North-Holland, Amsterdam, 1967. Search in Google Scholar
[21] M. Zenga, Inequality curve and inequality index based on the ratios between lower and upper arithmetic means, Stat. Appl 5 (2007), 3–27. Search in Google Scholar
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Articles in the same Issue
- Frontmatter
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- General Independent Competing Risks for Maintenance Analysis
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- Robust Optimization of an Imperfect Process when the Mean and Variance are Jointly Monitored under Dependent Multiple Assignable Causes
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Articles in the same Issue
- Frontmatter
- The 𝑛𝑝-Chart with 3-𝜎 Limits and the ARL-Unbiased 𝑛𝑝-Chart Revisited
- General Independent Competing Risks for Maintenance Analysis
- On Normal-Laplace Stochastic Volatility Model
- Robust Optimization of an Imperfect Process when the Mean and Variance are Jointly Monitored under Dependent Multiple Assignable Causes
- Estimation and Confidence Intervals of Modified Process Capability Index Using Robust Measure of Variability
- Cumulative Entropy and Income Analysis