Based on the review of various methods of estimating Gini coefficient, the paper applies a quintile rule to estimate Gini coefficient of rural areas, urban areas and the whole country using the grouped income data of ...Based on the review of various methods of estimating Gini coefficient, the paper applies a quintile rule to estimate Gini coefficient of rural areas, urban areas and the whole country using the grouped income data of urban and rural residents. Besides, the paper uses the curve-fitting method to roughly estimate Gini coefficient from eye-catching Hurun Rich List and the latest poverty line. The result shows that the estimation of Gini coefficient using quintile rule is small for both urban and rural area, while the value of the whole country is obviously larger, which is above the warning line of 0.4. It is indicated that the wealth gap mainly comes from the gap between urban and rural areas. On the other hand, the estimation of Gini coefficient using curve-fitting method is as large as more than 0.7, which implies that the wealth gap is?highlighted from the analysis of the lowest and highest part of the wealth distribution. All in all, China’s current gap between the poor and the rich is serious. The reform of the income distribution needs to speed up to ensure social harmony and stability.展开更多
Usually, data on road traffic accidents in Algeria are not available to researchers. Fortunately, MICS4mthe Multiple Indicator Cluster Survey conducted by UNICEF during 2012-2013 has introduced a module on accidents a...Usually, data on road traffic accidents in Algeria are not available to researchers. Fortunately, MICS4mthe Multiple Indicator Cluster Survey conducted by UNICEF during 2012-2013 has introduced a module on accidents among children less than 15 years. In Algeria, the MICS4 survey targeted a sample of 28,000 households distributed over the national territory. These are the main results of polynomial logistic regression： Children in the richest quintile （B = .562, p 〈 .05）, are much less exposed than children in the poorest quintile. The odd ratio is 1.75. Compared to children aged 12 to 14, the younger children of 0-2 years （B = -1.059, p 〈 .05）, are three times less exposed （odd ratio = .347） to road traffic accidents; and children of 9-11 years （B = .520, p 〈 .05）, are most exposed with an odd ratio of 1.68. For territorial planning areas, with the South being taken as a reference category, the risk of traffic accidents for a child is the lowest in the West Highlanders （B = -1.257, p 〈 .05）, followed by the North Center （B = -1.163, p 〈 .05）, the East Highlands （B = -1.053, p 〈 .05）, the Northwest （B = -1.034, p 〈 .05）, and the Northeast （B = -.805, p 〈 .05）. Odd ratio values are respectively .29, .313, .349, .356, and .447.展开更多
文摘Based on the review of various methods of estimating Gini coefficient, the paper applies a quintile rule to estimate Gini coefficient of rural areas, urban areas and the whole country using the grouped income data of urban and rural residents. Besides, the paper uses the curve-fitting method to roughly estimate Gini coefficient from eye-catching Hurun Rich List and the latest poverty line. The result shows that the estimation of Gini coefficient using quintile rule is small for both urban and rural area, while the value of the whole country is obviously larger, which is above the warning line of 0.4. It is indicated that the wealth gap mainly comes from the gap between urban and rural areas. On the other hand, the estimation of Gini coefficient using curve-fitting method is as large as more than 0.7, which implies that the wealth gap is?highlighted from the analysis of the lowest and highest part of the wealth distribution. All in all, China’s current gap between the poor and the rich is serious. The reform of the income distribution needs to speed up to ensure social harmony and stability.
文摘Usually, data on road traffic accidents in Algeria are not available to researchers. Fortunately, MICS4mthe Multiple Indicator Cluster Survey conducted by UNICEF during 2012-2013 has introduced a module on accidents among children less than 15 years. In Algeria, the MICS4 survey targeted a sample of 28,000 households distributed over the national territory. These are the main results of polynomial logistic regression： Children in the richest quintile （B = .562, p 〈 .05）, are much less exposed than children in the poorest quintile. The odd ratio is 1.75. Compared to children aged 12 to 14, the younger children of 0-2 years （B = -1.059, p 〈 .05）, are three times less exposed （odd ratio = .347） to road traffic accidents; and children of 9-11 years （B = .520, p 〈 .05）, are most exposed with an odd ratio of 1.68. For territorial planning areas, with the South being taken as a reference category, the risk of traffic accidents for a child is the lowest in the West Highlanders （B = -1.257, p 〈 .05）, followed by the North Center （B = -1.163, p 〈 .05）, the East Highlands （B = -1.053, p 〈 .05）, the Northwest （B = -1.034, p 〈 .05）, and the Northeast （B = -.805, p 〈 .05）. Odd ratio values are respectively .29, .313, .349, .356, and .447.
