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Cited by 1,536

The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.

The economics of poverty traps and persistent poverty: An asset-based approach

Open access
Carter, Michael R., Barrett, Christopher B.·2006·Journal of Development Studies

Abstract

Longitudinal data on household living standards open the way to a deeper analysis of the nature and extent of poverty. While a number of studies have exploited this type of data to distinguish transitory from more chronic forms of income or expenditure poverty, this paper develops an asset-based approach to poverty analysis that makes it possible to distinguish deep-rooted, persistent structural poverty from poverty that passes naturally with time due to systemic growth processes. Drawing on the economic theory of poverty traps and bifurcated accumulation strategies, this paper briefly discusses some feasible estimation strategies for empirically identifying poverty traps and long-term, persistent structural poverty, as well as relevant extensions of the popular Foster-Greer-Thorbecke class of poverty measures. The paper closes with reflections on how asset-based poverty can be used to underwrite the design of persistent poverty reduction strategies.

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Metadata

Authors
Carter, M. R., & Barrett, C. B.
Venue
Journal of Development Studies
Published
2006-02
Volume
42
Issue
2
Pages
178-199
ISSN
  • 0022-0388 (ISSN-L)
  • 1743-9140
OpenAlex
W2046507863
Cited by
1,536
References
64
FWCI
199.43
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The economics of poverty traps and persistent poverty: An asset-based approach. https://app.cochat.ai/papers/10.1080/00220380500405261
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Carter, M. R., & Barrett, C. B. (2006). The economics of poverty traps and persistent poverty: An asset-based approach. Journal of Development Studies. https://doi.org/10.1080/00220380500405261

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.