Can Data Empower Indigenous People? Unveiling an Innovative Dataset for Quantitative Analysis, Replication Modeling, and Economic Development.
Indigenous peoples are among the most vulnerable, ignored, and marginalized groups in society. Poverty is the oldest social problem and difficult to counter. The Indigenous people with which the authors live and work, the Agta Tabangnon, suffer from poverty and multidimensional socioeconomic depriva...
| Published in: | Research Data Journal for the Humanities & Social Sciences Vol. 9; no. 1; pp. 1 - 17 |
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| Main Authors: | , |
| Format: | Article |
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openjournals.nl
2024
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=182160138&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 182160138 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 24523666 MC8A jtl: Research Data Journal for the Humanities & Social Sciences issn: 24523666 maglogo: N pubinfo: dt: 2024 vid: 9 iid: 1 pid: 39112 pub: openjournals.nl artinfo: ui: 182160138 10.1163/24523666-bja10050 ppf: 1 ppct: 16 formats: tig: atl: Can Data Empower Indigenous People? Unveiling an Innovative Dataset for Quantitative Analysis, Replication Modeling, and Economic Development. aug: au: Onsay, Emmanuel Rabajante, Jomar affil: Partido Institute of Economics, Partido State University, Camarines Sur, Philippines Graduate School, University of the Philippines Los Baños, Laguna, Philippines su: Indigenous peoples Economic development Social problems Poverty Machine learning sug: subj: Indigenous peoples Economic development Social problems Poverty Machine learning keyword: data analytics for humanities and social sciences economic development indigenous people multidimensional poverty Philippines ab: Indigenous peoples are among the most vulnerable, ignored, and marginalized groups in society. Poverty is the oldest social problem and difficult to counter. The Indigenous people with which the authors live and work, the Agta Tabangnon, suffer from poverty and multidimensional socioeconomic deprivations. Indigenous peoples' studies are qualitative, while poverty studies are typically generic, exposed to large sampling errors, and intended for nationwide decisions. Therefore, measuring poverty for specific tribes through complete enumeration with multifaceted disaggregation is critical for economic development. There is no comprehensive census specifically designed for Indigenous peoples to encompass the multidimensional aspects of their way of life. Nonetheless, the authors are resourceful in generating useful datasets from their partners. The locale is situated in the poorest district of the poorest province in the poorest region of Luzon, Philippines. The datasets contain multidimensional poverty indicators that are readily usable, along with complementary analytics to visualize the data. They may serve to measure poverty in Indigenous communities across different regions and countries. By utilizing this data, further empirical analysis, regressions, machine learning, and econometric modeling can be conducted. It can be freely utilized to target policies that address the multifaceted poverty and promote economic development within tribal communities. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2024 holdings: @attributes: islocal: N |
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