Inclusive targeting: a multistep validation of the poverty probability index for the identification of low-income students in developing countries
The study of effective targeting mechanisms for identifying households or individuals eligible for poverty reduction, development, and social protection programs is a pressing issue for practitioners and civil society. The paper presents a validation strategy that practitioners could use to identify...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
|
| Series: | Cogent Social Sciences |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/23311886.2024.2392024 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849339444342030336 |
|---|---|
| author | Cristina Nataly Cadena-Palacios Ismenia Araujo Rocío Alejandra Duque Andrés Benítez Soto |
| author_facet | Cristina Nataly Cadena-Palacios Ismenia Araujo Rocío Alejandra Duque Andrés Benítez Soto |
| author_sort | Cristina Nataly Cadena-Palacios |
| collection | DOAJ |
| description | The study of effective targeting mechanisms for identifying households or individuals eligible for poverty reduction, development, and social protection programs is a pressing issue for practitioners and civil society. The paper presents a validation strategy that practitioners could use to identify potential beneficiaries of poverty reduction, inclusion, and institutional programs, especially in the resource-constrained settings prevalent in developing countries. The approach integrates a multistep process to ensure internal and external validity when using the Poverty Probability Index to identify students living in poor households. The results strongly support the internal and external validity of the proposed strategy’s targeting mechanism. The combination of the Poverty Probability Index and z-scores allows for identifying vulnerable students, offering an opportunity for a low-cost and time-efficient poverty analysis that practitioners could use in diverse settings. This will enable the implementation of unbiased scholarship programs for students of higher education institutions in developing economies. |
| format | Article |
| id | doaj-art-ef63f1b0a5ff4dc499e429e1574c7728 |
| institution | Kabale University |
| issn | 2331-1886 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Cogent Social Sciences |
| spelling | doaj-art-ef63f1b0a5ff4dc499e429e1574c77282025-08-20T03:44:07ZengTaylor & Francis GroupCogent Social Sciences2331-18862024-12-0110110.1080/23311886.2024.2392024Inclusive targeting: a multistep validation of the poverty probability index for the identification of low-income students in developing countriesCristina Nataly Cadena-Palacios0Ismenia Araujo1Rocío Alejandra Duque2Andrés Benítez Soto3Research and Development, Instituto Superior Tecnológico ITCA, Ibarra, EcuadorResearch and Development, Instituto Superior Tecnológico ITCA, Ibarra, EcuadorResearch and Development, Instituto Superior Tecnológico ITCA, Ibarra, EcuadorResearch and Development, Instituto Superior Tecnológico ITCA, Ibarra, EcuadorThe study of effective targeting mechanisms for identifying households or individuals eligible for poverty reduction, development, and social protection programs is a pressing issue for practitioners and civil society. The paper presents a validation strategy that practitioners could use to identify potential beneficiaries of poverty reduction, inclusion, and institutional programs, especially in the resource-constrained settings prevalent in developing countries. The approach integrates a multistep process to ensure internal and external validity when using the Poverty Probability Index to identify students living in poor households. The results strongly support the internal and external validity of the proposed strategy’s targeting mechanism. The combination of the Poverty Probability Index and z-scores allows for identifying vulnerable students, offering an opportunity for a low-cost and time-efficient poverty analysis that practitioners could use in diverse settings. This will enable the implementation of unbiased scholarship programs for students of higher education institutions in developing economies.https://www.tandfonline.com/doi/10.1080/23311886.2024.2392024Poverty probability indexz-scoretargeting mechanismsSDG 4: Quality educationDevelopment StudiesEducation - Social Sciences |
| spellingShingle | Cristina Nataly Cadena-Palacios Ismenia Araujo Rocío Alejandra Duque Andrés Benítez Soto Inclusive targeting: a multistep validation of the poverty probability index for the identification of low-income students in developing countries Cogent Social Sciences Poverty probability index z-score targeting mechanisms SDG 4: Quality education Development Studies Education - Social Sciences |
| title | Inclusive targeting: a multistep validation of the poverty probability index for the identification of low-income students in developing countries |
| title_full | Inclusive targeting: a multistep validation of the poverty probability index for the identification of low-income students in developing countries |
| title_fullStr | Inclusive targeting: a multistep validation of the poverty probability index for the identification of low-income students in developing countries |
| title_full_unstemmed | Inclusive targeting: a multistep validation of the poverty probability index for the identification of low-income students in developing countries |
| title_short | Inclusive targeting: a multistep validation of the poverty probability index for the identification of low-income students in developing countries |
| title_sort | inclusive targeting a multistep validation of the poverty probability index for the identification of low income students in developing countries |
| topic | Poverty probability index z-score targeting mechanisms SDG 4: Quality education Development Studies Education - Social Sciences |
| url | https://www.tandfonline.com/doi/10.1080/23311886.2024.2392024 |
| work_keys_str_mv | AT cristinanatalycadenapalacios inclusivetargetingamultistepvalidationofthepovertyprobabilityindexfortheidentificationoflowincomestudentsindevelopingcountries AT ismeniaaraujo inclusivetargetingamultistepvalidationofthepovertyprobabilityindexfortheidentificationoflowincomestudentsindevelopingcountries AT rocioalejandraduque inclusivetargetingamultistepvalidationofthepovertyprobabilityindexfortheidentificationoflowincomestudentsindevelopingcountries AT andresbenitezsoto inclusivetargetingamultistepvalidationofthepovertyprobabilityindexfortheidentificationoflowincomestudentsindevelopingcountries |