Recommended
Recommended
More Related Content
More from Ahmed Ali
More from Ahmed Ali (20)
Recently uploaded
Recently uploaded (20)
inclusion and exclusion errors- Sikandra Kurdi.pptx
- 1. From: Brown, Ravaillon, and van de Walle (2016) Correct excluded Correct beneficiaries Inclusion error Exclusion error • Exclusion error: proportion of poor who are not included • Inclusion error: proportion of included who are not poor • Coverage: the share of the population targeted
- 2. From: Brown, Ravaillon, and van de Walle (2016) Inclusion error Exclusion error • Exclusion error: proportion of poor who are not included • Inclusion error: proportion of included who are not poor • Coverage: the share of the population targeted Increasing cut-off decreases exclusion error, increases share of population receiving benefits, but increases inclusion error
- 3. From: Brown, Ravaillon, and van de Walle (2016) Correct Correct Inclusion error Exclusion error • Exclusion error: proportion of poor who are not included • Inclusion error: proportion of included who are not poor • Coverage: the share of the population targeted Increasing cut-off decreases exclusion error, increases share of population receiving benefits, but increases inclusion error The trade-off in exclusion error vs. inclusion error as you change coverage rate depends on the where you are in the distribution If coverage rates are very low (orange) there can be a lot of reduction in exclusion error without too much concern about inclusion error increasing
- 4. From: Brown, Ravaillon, and van de Walle (2016) Correct Correct Inclusion error Exclusion error • Exclusion error: proportion of poor who are not included • Inclusion error: proportion of included who are not poor More accurate targeting reduces trade-off between exclusion error and inclusion error… But may have higher data/ administrative costs