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arXiv physics/0601176physics.soc-phq-fin.GN
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澳大利亚个人收入分配研究

A study of the personal income distribution in Australia

Anand Banerjee, Victor M. Yakovenko, T. Di Matteo

摘要:

我们分析了澳大利亚统计局的个人收入分配数据。我们将数据与指数分布、对数正态分布和伽玛分布的拟合进行比较。指数函数对分布下部的98%的总体给出了很好的(尽管不是完美的)描述。对数正态函数和伽马函数尽管具有更多参数,但并没有显著改善拟合,并且模拟指数函数。我们发现,在零收入的概率密度是不为零,这是矛盾的对数正态分布和伽玛分布,但与指数一致。概率密度的高分辨率直方图显示,在低收入时出现了一个非常尖锐和狭窄的峰值,我们将其解释为政府收入再分配政策的结果。

英文摘要:

We analyze the data on personal income distribution from the Australian Bureau of Statistics. We compare fits of the data to the exponential, log-normal, and gamma distributions. The exponential function gives a good (albeit not perfect) description of 98% of the population in the lower part of the distribution. The log-normal and gamma functions do not improve the fit significantly, despite having more parameters, and mimic the exponential function. We find that the probability density at zero income is not zero, which contradicts the log-normal and gamma distributions, but is consistent with the exponential one. The high-resolution histogram of the probability density shows a very sharp and narrow peak at low incomes, which we interpret as the result of a government policy on income redistribution.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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