Measuring the unmeasurable multidimensional poverty for economic development: Datasets, algorithms, and models from the poorest region of Luzon, Philippines-Reference-Cited by-同舟云学术

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Measuring the unmeasurable multidimensional poverty for economic development: Datasets, algorithms, and models from the poorest region of Luzon, Philippines

Published:2024-04 Issue: Volume:53 Page:110150
ISSN:2352-3409
Container-title:Data in Brief
language:en
Short-container-title:Data in Brief

Author:

Onsay Emmanuel A.,Rabajante Jomar F.

Publisher

Elsevier BV

Reference13 articles.

1. Dataset on measuring the Unmeasurable multidimensional rural poverty for economic development: analysis from the poorest district of the poorest province in the poorest region of Luzon, Philippines;Onsay;Mendeley Data,2023

2. Handbook on poverty and inequality;Haughton,2009

3. Measuring the immeasurable;M.I.C.H.A.E.L. Eid;Sci. Subj. Well Being,2008

4. Measuring the unmeasurable;Gruijters;Hum. Nat.,2018

5. Poverty profile and health dynamics of indigenous people;Onsay;Int. Rev. Soc. Sci. Res.,2022

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Combining machine learning (ML) and participatory rural appraisal (PRA) for disaster risk preparedness (DRP): Evidence from the poorest region of Luzon, Philippines;International Journal of Disaster Risk Reduction;2024-10

2. When machine learning meets econometrics: Can it build a better measure to predict multidimensional poverty and examine unmeasurable economic conditions?;Science Talks;2024-09

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