The Use of Common Area k-Sample Test in Evaluating Targeting Methodologies
An Application to the Case of Egypt
Bibliographic Data
| ID | 11716366 |
|---|---|
| Authors | Sahar El-Sheneity (0000-0002-1636-6221, Cairo University), May Gadallah (Cairo University) |
| Year | 2016 |
| Volume | 133 |
| Issue | 3 |
| Pages | 1193-1206 |
| Publication date | 2016-07-11 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Indicators Research (JOURNAL) |
| Journal identifiers | ISSN: 0303-8300 • E-ISSN: 1573-0921 |
| Publisher | Springer Science+Business Media (PUBLISHER • DE) |
| DOI | 10.1007/s11205-016-1405-3 |
| OpenAlex | W2468775375 |
| Language | EN |
| References cited | 16 |
This research utilizes a measure for evaluating targeting methodologies that is based on the common area under the kernel densities of per capita expenditure of different poverty groups. The proposed measure is incorporated with misclassification errors. It also compares some variables commonly used in targeting from a multidimensional perspective to show their overlap where standard statistical tests show them as significantly different. Such an integrated approach helps identify the complexity of model building thus providing a new tool in guiding social policies focusing on poverty alleviation. To demonstrate the added-value of the suggested measure, it is applied to a case study involving different methodologies to target poorest households in regions characterized with high prevalence of poverty in rural Upper Egypt. Results show that trials to classify the surveyed households using different models are faced with large overlap according to the proposed measure even when errors of under-coverage and/or leakage drop. Models built on the national-level of poor areas or on regional-level do not perform well on the level of these poor villages where geographical targeting would have been optimal
Capability approach · Data mining · Econometrics · Economic growth · Economics · Environmental health · Measure (data warehouse · Per capita · Poverty · Public health · Quality of Life Research · Sample (material · Statistics · Agricultural risk and resilience · Computer Science · Income, Poverty, and Inequality · Mathematics · Medicine · Poverty, Education, and Child Welfare
Targeting of Transfers in Developing Countries
Targeting Outcomes Redux
Targeting the Poor
Inside Inequality in the Arab Republic of Egypt
Counting and multidimensional poverty measurement
Targeting the Poor in Mexico
Targeting Performance under Self-selection and Administrative Targeting Methods
Multidimensional Targeting
Selecting a Targeting Method to Identify BPL Households in India
| Highly cited | No |
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