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Social Indicators Research

, Volume 87, Issue 2, pp 249–258 | Cite as

Statistical Properties of Generalized Gini Coefficient with Application to Health Inequality Measurement

  • Dejian LaiEmail author
  • Jin Huang
  • Jan M. Risser
  • Asha S. Kapadia
Article

Abstract

In this article, we report statistical properties of two classes of generalized Gini coefficients (G1 and G2). The theoretical results were assessed via Monte Carlo simulations. Further, we used G1 and G2 on life expectancy to measure health inequalities among the provinces of China and the states of the United States. For China, the results indicated that there was statistically significant health inequality by both G1 and G2. However, for the US, the results showed that there was significant health inequality by G1 but no statistical significance was found in health inequality by G2. Overall, from our study, China has higher health inequality than the United States.

Keywords

Gini coefficient Health inequality Simulation Statistical analysis 

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Copyright information

© Springer Science+Business Media B.V. 2007

Authors and Affiliations

  • Dejian Lai
    • 1
    • 2
    • 3
    Email author
  • Jin Huang
    • 1
  • Jan M. Risser
    • 1
  • Asha S. Kapadia
    • 1
  1. 1.The University of Texas Health Science Center at Houston School of Public HealthHoustonUSA
  2. 2.Faculty of StatisticsJiangxi University of Finance and EconomicsNanchangChina
  3. 3.University of Texas School of Public HealthHoustonUSA

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