Combining census and survey data to trace the spatial dimensions of poverty: A case study of Ecuador

被引:104
作者
Hentschel, J [1 ]
Lanjouw, JO
Lanjouw, P
Poggi, J
机构
[1] World Bank, Poverty Div, Poverty Reduct & Econ Management Network, Washington, DC 20433 USA
[2] Yale Univ, New Haven, CT 06520 USA
[3] Free Univ Amsterdam, NL-1081 HV Amsterdam, Netherlands
[4] World Bank, Dev Res Grp, Washington, DC 20433 USA
关键词
D O I
10.1093/wber/14.1.147
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Poverty maps provide information on the spatial distribution of living standards. They are an important tool for policymakers, who rely on them to allocate transfers and inform policy design. Poverty maps are also an important tool for researchers, who use them to investigate the relationship between distribution within a country and growth or other economic, environmental, or social outcomes. A major impediment to the development of poverty maps has been that needed data on income or consumption typically are available only from relatively small surveys. Census data have the required sample size brit generally do not have the required information. This article uses the case of Ecuador to demonstrate how sample survey data can be combined with census data to yield predicted poverty rates for the population covered by the census. These poverty rates are found to be precisely measured, even at fairly disaggregated levels. However, beyond a certain level of spatial disaggregation, standard errors rise vapidly.
引用
收藏
页码:147 / 165
页数:19
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