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Full-Text Articles in Social and Behavioral Sciences
How Well Can We Target Aid With Rapidly Collected Data? Empirical Results For Poverty Mapping From Cambodia, Tomoki Fujii
How Well Can We Target Aid With Rapidly Collected Data? Empirical Results For Poverty Mapping From Cambodia, Tomoki Fujii
Research Collection School Of Economics
We 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.
The Relationship Between Poverty And Economic Growth Revisited, Lonnie K. Stevans, David N. Sessions
The Relationship Between Poverty And Economic Growth Revisited, Lonnie K. Stevans, David N. Sessions
Lonnie K. Stevans
It has been shown in prior research that increased economic growth reduces poverty. Authors have also found that the effect of growth in GDP on poverty growth has either diminished or remained unchanged over time and the 1980s economic expansion in the U.S. had no affect on poverty. Using a formal error-correction model, we find that increases in economic growth are significantly related to reductions in the poverty rate for all families. Specifically, GDP growth was found to have a more pronounced effect on poverty during the expansionary periods of the 1960s, 1970s, 1980s, 1990s, and 2000s. Other findings include …