Small Area Estimation of Non-Monetary Poverty with Geospatial Data
This paper uses data from Sri Lanka and Tanzania to evaluate the benefits of combining household surveys with geographically comprehensive geospatial indicators to generate small area estimates of non-monetary poverty. The preferred estimates are g...
| Main Authors: | , , , , |
|---|---|
| Format: | Working Paper |
| Language: | English |
| Published: |
World Bank, Washington, DC
2020
|
| Subjects: | |
| Online Access: | http://documents.worldbank.org/curated/en/831041599576611927/Small-Area-Estimation-of-Non-Monetary-Poverty-with-Geospatial-Data http://hdl.handle.net/10986/34469 |