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Full-Text Articles in Income Distribution
Is Predicted Data A Viable Alternative To Real Data?, Tomoki Fujii, Roy Van Der Weide
Is Predicted Data A Viable Alternative To Real Data?, Tomoki Fujii, Roy Van Der Weide
Research Collection School Of Economics
It is costly to collect the household- and individual-level data that underlies official estimates of poverty and health. For this reason, developing countries often do not have the budget to update their estimates of poverty and health regularly, even though these estimates are most needed there. One way to reduce the financial burden is to substitute some of the real data with predicted data. An approach referred to as double sampling collects the expensive outcome variable for a sub-sample only while collecting the covariates used for prediction for the full sample. The objective of this study is to determine if …
Is Predicted Data A Viable Alternative To Real Data?, Tomoki Fujii, Roy Van Der Weide
Is Predicted Data A Viable Alternative To Real Data?, Tomoki Fujii, Roy Van Der Weide
Research Collection School Of Economics
It is costly to collect the household- and individual-level data that underlies official estimates of poverty and health. For this reason, developing countries often do not have the budget to update their estimates of poverty and health regularly, even though these estimates are most needed there. One way to reduce the financial burden is to substitute some of the real data with predicted data. An approach referred to as double sampling collects the expensive outcome variable for a sub-sample only while collecting the covariates used for prediction for the full sample. The objective of this study is to determine if …
Is Predicted Data A Viable Alternative To Real Data?, Tomoki Fujii, Roy Van Der Weide
Is Predicted Data A Viable Alternative To Real Data?, Tomoki Fujii, Roy Van Der Weide
Research Collection School Of Economics
It is costly to collect the household- andindividual-level data that underlies official estimates of poverty and health. Forthis reason, developing countries often do not have the budget to update their estimatesof poverty and health regularly, even though these estimates are most neededthere. One way to reduce the financial burden is to substitute some of the realdata with predicted data. An approach referred to as double sampling collectsthe expensive outcome variable for a sub-sample only while collecting thecovariates used for prediction for the full sample. The objective of this studyis to determine if this would indeed allow for realizing meaningful reductionsin …
Two-Sample Estimation Of Poverty Rates For Disabled People: An Application To Tanzania, Tomoki Fujii
Two-Sample Estimation Of Poverty Rates For Disabled People: An Application To Tanzania, Tomoki Fujii
Research Collection School Of Economics
Estimating poverty measures for disabled people in developing countries is di cult, partly because relevant data are not available. We develop two methods to estimate poverty by the disability status of the household head. We extend the small-area estimation proposed by Elbers, Lanjouw and Lanjouw (2002, 2003) so that we can run a regression on head's disability status even when such information is unavailable in the survey. We do so by aggregation and by moment adjusted two sample instrumental variable estimation. Our results from Tanzania show that both methods work well, and that disability is indeed associated with poverty.
Poverty Alleviation Through Geographic Targeting, Chris Elbers, Tomoki Fujii, Peter Lanjouw, Berk Ozler, Wesley Yin
Poverty Alleviation Through Geographic Targeting, Chris Elbers, Tomoki Fujii, Peter Lanjouw, Berk Ozler, Wesley Yin
Research Collection School Of Economics
In this paper, we employ recently completed “poverty maps” for three countries as tools for an ex ante evaluation of the distributional incidence of geographic targeting of public resources. We simulate the impact on poverty of transferring an exogenously given budget to geographically defined sub-groups of the population according to their relative poverty status. We find large gains from targeting smaller administrative units, such as districts or villages. However, these gains are still far from the poverty reduction that would be possible had the planners had access to information on household level income or consumption. Our results indicate that a …