کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
992489 | 935798 | 2008 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
How Well Can We Target Aid with Rapidly Collected Data? Empirical Results for Poverty Mapping from Cambodia
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کلمات کلیدی
موضوعات مرتبط
علوم انسانی و اجتماعی
اقتصاد، اقتصادسنجی و امور مالی
اقتصاد و اقتصادسنجی
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چکیده انگلیسی
SummaryWe compare commune-level poverty rankings in Cambodia based on three different methods: small-area estimation, principal component analysis using aggregate data, and interviews with local leaders. While they provide reasonably consistent rankings, the choice of the ranking method matters. In order to assess the potential losses from moving away from census-based poverty mapping, we used the concentration curve. Our calculation shows that about three-quarters of the potential gains from geographic targeting may be lost by using aggregate data. The usefulness of aggregate data in general would depend on the cost of data collection.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: World Development - Volume 36, Issue 10, October 2008, Pages 1830–1842
Journal: World Development - Volume 36, Issue 10, October 2008, Pages 1830–1842
نویسندگان
Tomoki Fujii,