9,071 research outputs found

    Perfect partition of some regular bipartite graphs

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    A graph has a perfect partition if all its perfect matchings can be partitioned so that each part is a 1-factorization of the graph. Let Lrm,r=Krm,rmmKr,rL_{rm, r}=K_{rm,rm}-mK_{r,r}. We first give a formula to count the number of perfect matchings of Lrm,rL_{rm, r}, then show that L6,1L_{6,1} and L8,2L_{8,2} have perfect partitions.Comment: 11 pages, 1 figur

    Decomposition of Changes in Earnings Inequality in China: A Distributional Approach

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    Using the nationwide household data, this study examines the changes in the Chinese urban income distributions from 1987 to 1996 and from 1996 to 2004, and investigates the causes of these changes. The Oaxaca-Blinder decomposition method is applied to decomposing the mean earnings increases, and the Firpo-Fortin-Lemieux method based upon a recentered influence function is used to decompose the changes in the income distribution and the inequality measures such as the variance and the 10-90 ratio. The decomposition results show that the wage structure effects such as the widened gender pay gap, the increasing return to college education, and the widened gap in the return to different industries, ownership, and regions, have contributed to most of the overall increases in income inequality. During the different time periods, 1987-1996 and 1996-2004, the impacts of these factors vary at the different points (e.g. the lower half or upper half) of distribution.Earnings inequality; Unconditional Quantile Regressions; Earnings distribution; Decomposition

    Fair trade in insurance industry: Premium determination of Taiwan automobile insurance

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    This paper examines premium determination of voluntary automobile insurance policy and risk classification under a heavily regulated rating system in Taiwan. We investigate the distribution of actual premium and pure premium, based on unique data to test if premium reflect appropriate gender-age factor. The reasonableness of loading and the difference in driving exposure between policyholder and driver are investigated for three different types of policy. An adjustment of gender-age premium coefficients is called for
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