Statistical Properties of Generalized Gini Coefficient with Application to Health Inequality Measurement |
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| Authors: | Dejian Lai Jin Huang Jan M. Risser Asha S. Kapadia |
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| Affiliation: | (1) The University of Texas Health Science Center at Houston School of Public Health, Houston, TX 77030, USA;(2) Faculty of Statistics, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, China;(3) University of Texas School of Public Health, Houston, TX 77225, USA |
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| 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. |
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| Keywords: | Gini coefficient Health inequality Simulation Statistical analysis |
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