Abstract: The Lorenz curve is a much used instrument in economic analysis. It is typically used for measuring inequality and concentration. In insurance, it is used to compare the riskiness of portfolios, to order reinsurance contracts
and to summarize relativity scores (see Frees et al. J. Am. Statist. Assoc. 106, 1085-1098, 2011; J. Risk Insur. 81, 335-366, 2014 and Samanthi et al. Insur. Math. Econ. 68, 84?91, 2016). It is sometimes called a concentration curve and, with this designation, it attracted the attention of Mahalanobis (Econometrica 28, 335-351, 1960) in his well known paper on fractile graphical analysis. The extension of the Lorenz curve to higher dimensions is not a simple task.There are three proposed definitions for a suitable Lorenz surface, proposed by Taguchi (Ann. Inst. Statist. Math. 24, 355-382, 1972a, 599-619, 1972b; Comput. Stat. Data Anal. 6, 307-334, 1988) and Lunetta (1972), Arnold (1987, 2015) and Koshevoy and Mosler (J. Am. Statist. Assoc. 91, 873-882, 1996). In this paper, using the definition proposed by Arnold (1987, 2015), we obtain analytic expressions for many multivariate Lorenz surfaces. We consider two general classes of models. The first is
based on mixtures of Lorenz surfaces and the second one is based on some simple classes of bivariate mixture distributions.
Fuente: Sankhya A
December 2018, Volume 80, Supplement 1, pp 84-111
Fecha de publicación: 01/12/2018
Nº de páginas: 28
Tipo de publicación: Artículo de Revista