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| Simler, Kenneth R.; Arndt, Channing. |
| The objective of measuring poverty is usually to make comparisons over time or between two or more groups. Comm on statistical inference methods are used to determine whether an apparent difference in measured poverty is statistically significant. Studies of relative poverty have long recognized that when the poverty line is calculated from sample survey data, both the variance of the poverty line and the variance of the welfare metric contribute to the variance of the poverty estimate. In contrast, studies using absolute poverty lines have ignored the poverty line variance, even when the poverty lines are estimated from sample survey data. Including the poverty line variance could either reduce or increase the precision of poverty estimates, depending on... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Poverty measurement; Bootstrap; Mozambique; Food Security and Poverty; I32; C13; 012. |
| Ano: 2006 |
URL: http://purl.umn.edu/25775 |
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| Simler, Kenneth R.; Arndt, Channing. |
| The objective of measuring poverty is usually to make comparisons over time or between two or more groups. Common statistical inference methods are used to determine whether an apparent difference in measured poverty is statistically significant. Studies of relative poverty have long recognized that when the poverty line is calculated from sample survey data, both the variance of the poverty line and the variance of the welfare metric contribute to the variance of the poverty estimate. In contrast, studies using absolute poverty lines have ignored the poverty line variance, even when the poverty lines are estimated from sample survey data. Including the poverty line variance could either reduce or increase the precision of poverty estimates, depending on... |
| Tipo: Report |
Palavras-chave: Poverty measurement; Bootstrap; Mozambique; Food Security and Poverty. |
| Ano: 2006 |
URL: http://purl.umn.edu/55894 |
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| Shen, Yuanyuan; Yu, Fazhan; He, Aifei; Yu, Chenyang. |
| In terms of current life style, living and production conditions and hygienic and educational condition, we select 8 indices, such as annual net income of farmers per capita, annual grain yield per capita, total power of agricultural machinery per capita, dropout rate of school children and so on, to establish index system of determining me poor village in North Jiangsu By selecting Lianqun Village in Suining County of Xuzhou City, Mawa Village in Siyang County of Suqian City, Chuanxing Village in Guanyun County of Lianyungang City, Xiaozhu Village in Hongze County of Huai’an City, Fengda Village in Xiangshui County of Yancheng City as the representative villages, after the discussion and consultation of the masses and the village cadres of ail village, we... |
| Tipo: Journal Article |
Palavras-chave: Participatory poverty index; Poverty measurement; North Jiangsu; China; Agribusiness. |
| Ano: 2011 |
URL: http://purl.umn.edu/118284 |
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