Skip to main content

Part of the book series: Statistics for Social and Behavioral Sciences ((SSBS))

  • 665 Accesses

Abstract

In this chapter we will study inequality measures for two flexible families of income distributions: the McDonald family ( McDonald, Econometrica 52:647–663, 1984) and the family of generalized Pareto distributions proposed by Arnold (Pareto distributions. International Cooperative Publishing House, Fairland, MD, 1983, Pareto distributions, 2nd edn. CRC Press, Taylor & Francis Group, Boca Raton, FL 2015). We will include analytic expressions for the Lorenz curve, Gini indices, and other inequality measures for the different distributions of the two families.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 119.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Arnold, B. C. (1983). Pareto distributions. Fairland, MD: International Cooperative Publishing House.

    Google Scholar 

  • Arnold, B. C. (2015b). Pareto distributions (2nd ed.). Boca Raton, FL: CRC Press, Taylor & Francis Group.

    Google Scholar 

  • Arnold, B. C., & Laguna, L. (1976). A stochastic mechanism leading to asymptotically Paretian distributions. In Business and Economic Statistics Section, Proceedings of the American Statistical Association (pp. 208–210).

    Google Scholar 

  • Belzunce, F., Pinar, J. F., Ruiz, J. M., & Sordo, M. A. (2012). Comparisons of risks based on the expected proportional shortfall. Insurance: Mathematics and Economics, 51, 292–302.

    Google Scholar 

  • Belzunce, F., Pinar, J. F., Ruiz, J. M., & Sordo, M. A. (2013). Comparison of concentration for several families of income distributions. Statistics and Probability Letters, 83, 1036–1045.

    Google Scholar 

  • Cronin, D. C. (1977). Theory and applications of the log-logistic distribution. Unpublished M.A. thesis. Polytechnic of Central London.

    Google Scholar 

  • Cronin, D. C. (1979). A function for size distribution of incomes: A further comment. Econometrica, 47, 773–774.

    Google Scholar 

  • Dagum, C. (1977). A new model of personal income distribution: Specification and estimation. Economie Appliqueée, 30, 413–437.

    Google Scholar 

  • Feller, W. (1971). An introduction to probability theory and its applications (2nd ed., Vol. 2). New York: Wiley.

    Google Scholar 

  • Fisk, P. R. (1961a). The graduation of income distributions. Econometrica, 29, 171–185.

    Google Scholar 

  • Fisk, P. R. (1961b). Estimation of location and scale parameters in a truncated grouped sech-square distribution. Journal of the American Statistical Association, 56, 692–702.

    Google Scholar 

  • Jenkins, S. P. (2009). Distributionally sensitive inequality indices and The GB2 income distribution. The Review of Income and Wealth, 55, 392–398.

    Google Scholar 

  • Kalbfleisch, J. D., & Prentice, R. L. (1980). The statistical analysis of failure time data. New York: Wiley.

    Google Scholar 

  • Kleiber, C. (1996). Dagum vs. Singh-Maddala Income Distributions. Economics Letters, 53, 265–268.

    Google Scholar 

  • Kleiber, C. (1999). On the Lorenz ordering within parametric of income distributions. Sankhya B, 61, 514–517.

    Google Scholar 

  • Kleiber, C., & Kotz, S. (2003). Statistical size distributions in economics and actuarial sciences. Hoboken, NJ: Wiley.

    Google Scholar 

  • McDonald, J. B. (1981). Some issues associated with the measurement of income inequality. Statistical Distributions in Scientific Work, 6, 161–179.

    Google Scholar 

  • McDonald, J. B. (1984). Some generalized functions for the size distribution of income. Econometrica, 52, 647–663.

    Google Scholar 

  • McDonald, J. B., & Ransom, M. (2008). The generalized beta distribution as a model for the distribution of income. In D. Chotikapanich (Ed.), Modeling income distributions and Lorenz curves (pp. 147–166). New York: Springer.

    Google Scholar 

  • Ord, J. K. (1975). Statistical models for personal income distributions. In G. P. Patil, S. Kotz, & J. K. Ord (Eds.), Statistical distributions in scientific work (Vol. 2, pp. 151–158). Dordrecht, Holland: Reidel.

    Google Scholar 

  • Pham-Gia, T., & Turkkan, N. (1992). Determination of the beta distribution from its Lorenz curve. Mathematical and Computer Modelling, 16, 73–84.

    Google Scholar 

  • Sarabia, J. M., Castillo, E., & Slottje, D. J. (2002). Lorenz ordering between McDonald’s generalized functions of the income size distributions. Economics Letters, 75, 265–270.

    Google Scholar 

  • Sarabia, J. M., Gómez-Déniz, E., Prieto, F., Jordá, V. (2016). Risk aggregation in multivariate dependent Pareto distributions. Insurance: Mathematics and Economics, 71, 154–163.

    Google Scholar 

  • Sarabia, J. M. , & Jordá, V. (2014b). Explicit expressions of the Pietra index for the generalized function for the size distribution of income. Physica A: Statistical Mechanics and Its Applications, 416, 582–595.

    Google Scholar 

  • Sarabia, J. M., Jordá, V., & Remuzgo, L. (2017a). The Theil indices in parametric families of income distributions - A short review. The Review of Income and Wealth, 63, 867–880.

    Google Scholar 

  • Sarabia, J. M., Jordá, V., & Trueba, C. (2017b). The Lamé class of Lorenz curves. Communications in Statistics Theory and Methods, 46, 5311–5326.

    Google Scholar 

  • Singh, S. K., & Maddala, G. S. (1976). A function for the size distribution of incomes. Econometrica, 44, 963–970.

    Google Scholar 

  • Taillie, C. (1981). Lorenz ordering within the generalized gamma family of income distributions. In C. Taillie, G. P. Patil & B. Baldessari, (Eds.), Statistical distributions in scientific work (Vol. 6, pp. 181–192). Dordrecht, Holland: Reidel.

    Google Scholar 

  • Wilfling, B. (1996a). Lorenz ordering of generalized beta-II income distributions. Journal of Econometrics, 71, 381–388.

    Google Scholar 

  • Wilfling, B. (1996b). Lorenz ordering of power-function order statistics. Statistics and Probability Letters, 30, 313–319.

    Google Scholar 

  • Wilfling, B., & Krämer, W. (1993). Lorenz ordering of Singh-Maddala income distributions. Economics Letters, 43, 53–57.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Arnold, B.C., Sarabia, J.M. (2018). Inequality Analysis in Families of Income Distributions. In: Majorization and the Lorenz Order with Applications in Applied Mathematics and Economics. Statistics for Social and Behavioral Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-93773-1_10

Download citation

Publish with us

Policies and ethics