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An empirical assessment on alternative functional forms of the Lorenz curve

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  • Guano Hua Wan

Abstract

Different parametric Lorenz curves are estimated and evaluated using household survey data from rural China. None of them, however, is found to yield an adequate description of income distributions. Thus, new and better functional forms are called for, despite the fact that many already exist in the literature.

Suggested Citation

  • Guano Hua Wan, 1999. "An empirical assessment on alternative functional forms of the Lorenz curve," Applied Economics Letters, Taylor & Francis Journals, vol. 6(9), pages 597-599.
    • Handle: RePEc:taf:apeclt:v:6:y:1999:i:9:p:597-599
    DOI: 10.1080/135048599352682
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    Cited by:

    1. Ville, Simon & Valadkhani, Abbas & O'Brien, Martin, 2005. "The Distribution of Research Performance Across Australian Universities, 1992-2003, and Its Implications for Higher Education Funding Models," Economics Working Papers wp05-26, School of Economics, University of Wollongong, NSW, Australia.
    2. Esmaiel Abounoori & Patrick McCloughan, 2003. "A simple way to calculate the Gini Coefficient for grouped as well as ungrouped data," Applied Economics Letters, Taylor & Francis Journals, vol. 10(8), pages 505-509.
    3. Wan, Guang Hua, 2001. "Changes in regional inequality in rural China: decomposing the Gini index by income sources," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 45(3), pages 1-21.
    4. Kwang Soo Cheong, 1999. "A Comparison of Alternative Functional Forms For Parametric Estimation of the Lorenz Curve," Working Papers 199902, University of Hawaii at Manoa, Department of Economics.
    5. Kwang Soo Cheong, 2002. "An empirical comparison of alternative functional forms for the Lorenz curve," Applied Economics Letters, Taylor & Francis Journals, vol. 9(3), pages 171-176.

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