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Changes in Human Development in Developing Countries: An Empirical Assessment

机译:发展中国家人类发展的变化:一项实证评估

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摘要

Based on data from the World Bank and the United Nations Development Programme, a sample of 29 developing economies was used. The finding is that cross-country changes in human devel opment may be explained by per capita GDP growth, the length of land boundaries, the percent age of children under age 5 whose weight is more than two standard deviations below the median for the international reference population ages 0-59 months, the under-5 mortality rate, the ratio of girls to boys in primary and secondary education, the prevalence of HIV, the national average distance to the capital city, and the income share held by the lowest 10% of population. As observed, the coefficient estimates of three independent variables do not have the anticipated sign due to the severe degree of multicollinearity among statistically significant explanatory variables. Data for all variables are from the 2010 World Development Indicators and the 2009 Human Development Report. The least-squares estimation technique in a multivariate linear regression was applied. As noted, the severe degree of multicollinearity among explanatory variables may have caused their coefficient estimates to have the wrong sign.
机译:根据世界银行和联合国开发计划署的数据,使用了29个发展中经济体的样本。研究发现,人类发展的越野变化可以用人均GDP增长,土地边界的长度,5岁以下儿童的年龄百分比来解释,该年龄段的体重超过国际标准中位数的两个标准差以下人口年龄介于0-59个月之间,5岁以下儿童的死亡率,初等和中等教育中男女生的比例,艾滋病毒的患病率,全国与首都城市的平均距离以及所占收入比例最低的10%人口。如所观察到的,由于统计上重要的解释变量之间的多重共线性严重程度,三个自变量的系数估计没有预期的符号。所有变量的数据均来自《 2010年世界发展指标》和《 2009年人类发展报告》。在多元线性回归中应用了最小二乘估计技术。如前所述,解释变量之间多重共线性的严重程度可能已导致其系数估计具有错误的符号。

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