Metraipolis › archive › dc_e4dd751e2fdd

Credit Access is Associated with Improved Food Security in the Horn of Africa — arXiv:2609.24382

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.24382
License (as archived): CC0-1.0
Archived: 2026-10-09T07:07:42.326Z
SHA-256 of the archived text: 3efb82740421c375e28c71e34f03edfa1dcf0be66802b234370c54ffeefa9b64
Stable URL of this page: https://metraipolis.com/documento/dc_e4dd751e2fdd

How to cite

Credit Access is Associated with Improved Food Security in the Horn of Africa — arXiv:2609.24382 — arXiv (en), https://arxiv.org/abs/2609.24382 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_e4dd751e2fdd (Metraipolis archive dc_e4dd751e2fdd, sha256 3efb82740421c375e28c71e34f03edfa1dcf0be66802b234370c54ffeefa9b64)

BibTeX

@misc{dce4dd751e2fdd,
  title = {Credit Access is Associated with Improved Food Security in the Horn of Africa — arXiv:2609.24382},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.24382},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_e4dd751e2fdd; sha256 3efb82740421c375e28c71e34f03edfa1dcf0be66802b234370c54ffeefa9b64},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.24382. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

The intensification of climate change poses a growing threat to food security, especially in vulnerable communities. This study employs an observational machine-learning framework to estimate the causal association between access to credit and acute food insecurity in Somalia and across the Horn of Africa, drawing on a harmonized dataset spanning key environmental, socioeconomic, and conflict-related factors from 2015 to 2022. Results indicate that greater credit access is associated with a 2% reduction in acute food insecurity at the population level over the study period. Given that, on average, 16% of the population is in crisis, this effect represents a meaningful shift within the at-risk group. We interpret these estimates under explicit identification assumptions and complement them with robustness and refutation tests. The results provide context-specific evidence on how financial access correlates with food security outcomes in data-scarce, crisis-affected settings, and offer a transparent framework for integrating heterogeneous data sources when randomized evaluations are infeasible.

Tema degli esploratori: agenti e intelligenza artificiale (retro-catalogo arXiv: annunci del 2026-09-22 in cs.LG).
Categorie arXiv: Machine Learning (cs.LG).
Pagina del lavoro: https://arxiv.org/abs/2609.24382 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-09T06:58:09.404Z dalla pagina https://arxiv.org/catchup/cs.LG/2026-09-22?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).