Educational achievement distributions for Australian indigenous and nonindigenous populations in the years 2001, 2006, 2014 and 2017 are considered. Bayesian inference is used to analyse how these ordinal categorical distributions have changed over time and to compare indigenous and nonindigenous distributions. Both the level of educational achievement and inequality in educational achievement are considered. To compare changes in levels over time, as well as inequality between the two populations, first order stochastic dominance and an index of educational poverty are used. To examine changes in inequality over time, two inequality indices and generalised Lorenz dominance are considered. Results are presented in terms of posterior densities for the indices and posterior probabilities for dominance for the dominance comparisons. We find some evidence of improvement over time, especially in the lower parts of the indigenous distribution and that inequality has significantly increased from 2001 to 2017.
翻译:2001年、2006年、2014年和2017年澳大利亚土著和非土著人口教育成就分配情况得到考虑; 贝叶斯推论用于分析这些异常绝对分布随时间推移的变化,比较土著和非土著分布情况; 考虑教育成就水平和教育水平不平等情况; 比较长期水平的变化,以及两个人口之间的不平等情况; 采用第一顺序的主导地位和教育贫困指数; 为审查长期不平等情况的变化,考虑两个不平等指数和普世的洛伦茨主导地位; 以指数的后部密度和支配地位比较的后部概率为结果; 我们发现一些证据表明,在一段时间内,特别是在土著分布的较低部分,不平等情况在2001年至2017年期间明显加剧。