---
title: Monitoring Poverty in Data-Deprived Lebanon
url: https://www.ml-quant.com/papers/repec/bla-revinw-v-71-y-2025-i-1-n-e12708/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:bla:revinw:v:71:y:2025:i:1:n:e12708
source_url: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fdoi.org%2F10.1111%2Froiw.12708%3Bh%3Drepec%3Abla%3Arevinw%3Av%3A71%3Ay%3A2025%3Ai%3A1%3An%3Ae12708
featured: 2025-03-05
citations: unknown
topic: Other
---


# Monitoring Poverty in Data-Deprived Lebanon

The paper uses a new data augmentation technique to study poverty in the Middle East and North Africa, specifically Lebanon, using alternative data sources when traditional income data is scarce or unavailable.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fdoi.org%2F10.1111%2Froiw.12708%3Bh%3Drepec%3Abla%3Arevinw%3Av%3A71%3Ay%3A2025%3Ai%3A1%3An%3Ae12708
- Identifier: RePEc:bla:revinw:v:71:y:2025:i:1:n:e12708
- Released: 2025-03-05
- First featured: Quant Letter No. 87 (2025-03-05): https://www.ml-quant.com/issues/2025-03-05/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Other

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