Estimating wealth effects without expenditure data - Or tears: An application to educational enrollments in states of India
Estimating wealth effects without expenditure data - Or tears: An application to educational enrollments in states of India
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DOI：
10.2307/3088292
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发表时间：
2001-02-01
期刊：
影响因子：
3.5
通讯作者：
Pritchett, LH
中科院分区：
文献类型：
--
作者：
Filmer, D;Pritchett, LH
使用印度的数据，我们使用主要组件分析来得出权重来估算家庭财富与儿童学校入学率之间的关系我们代理财富的关系。在印度数据中，该指数对所包括的资产具有鲁棒性，并产生内部连贯的结果。州级的结果与人均输出和贫困的独立数据很好。为了验证该方法并证明资产指数可以准确地预测入学率，或者更重要的是，我们使用来自印度尼西亚，巴基斯坦和尼泊尔的数据集，其中包含有关支出和资产的信息。结果在印度各州的儿童入学人数中，巨大，可变的财富差距。与“贫穷”儿童相比，“富裕”儿童的招募可能性高31个百分点，但是此差距从喀拉拉邦的4.6个百分点到北方邦的38.2个百分点，而在比哈尔邦为42.6。
Using data from India, we estimate the relationship between household wealth and children's school enrollment We proxy wealth by constructing a linear index from asset ownership indicators, using principal-components analysis to derive weights. In Indian data this index is robust to the assets included, and produces internally coherent results. State-level results correspond well to independent data on per capita output and poverty. To validate the method and to show that the asset index predicts enrollments as accurately as expenditures, or more so, we use data sets from Indonesia, Pakistan, and Nepal that contain information on both expenditures and assets. The results shaw large, variable wealth gaps in children's enrollment across Indian states. On average a "rich" child is 31 percentage points more likely to be enrolled than a "poor" child, but this gap varies from only 4.6 percentage points in Kerala to 38.2 in Uttar Pradesh and 42.6 in Bihar.