The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
What is the Impact of International Remittances on Poverty and Inequality in Latin America?
Open accessAbstract
Workers' remittances have become a major source of income for developing countries. However, little is still known about their impact on poverty and inequality. Using a large cross-country panel dataset, the authors find that remittances in Latin American and Caribbean (LAC) countries have increased growth and reduced inequality and poverty. These results are robust to the use of different instruments that attempt to correct for the potential endogeneity of remittances. Household survey-based estimates for 10 LAC countries confirm that remittances have negative albeit relatively small inequality and poverty-reducing effects, even after imputations for the potential home earnings of migrants.
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Cites
Arellano, M., & Bond, S. (1991) · The Review of Economic Studies · doi:10.2307/2297968 · Cited by 33,272
Sample Selection Bias as a Specification Error
Heckman, J. J. (1979) · Econometrica · doi:10.2307/1912352 · Cited by 28,779
Initial conditions and moment restrictions in dynamic panel data models
Blundell, R., & Bond, S. (1998) · Journal of Econometrics · doi:10.1016/s0304-4076(98)00009-8 · Cited by 22,571
Another look at the instrumental variable estimation of error-components models
Arellano, M., & Bover, O. (1995) · Journal of Econometrics · doi:10.1016/0304-4076(94)01642-d · Cited by 19,880
Initial conditions and moment restrictions in dynamic panel data models
Blundell, R., & Bond, S. (1995) · Working Paper Series · doi:10.1920/wp.ifs.1995.9517 · Cited by 14,755
A Class of Decomposable Poverty Measures
Foster, J., Greer, J., & Thorbecke, E. (1984) · Econometrica · doi:10.2307/1913475 · Cited by 5,447
International data on educational attainment: updates and implications
Barro, R. J. (2001) · Oxford Economic Papers · doi:10.1093/oep/53.3.541 · Cited by 2,569
Dollar, D., & Kraay, A. (2002) · Journal of Economic Growth · doi:10.1023/a:1020139631000 · Cited by 2,395
Growth, income distribution, and democracy: What the data say
Perotti, R. (1996) · Journal of Economic Growth · doi:10.1007/bf00138861 · Cited by 2,051
A Reassessment of the Relationship Between Inequality and Growth
Forbes, K. J. (2000) · American Economic Review · doi:10.1257/aer.90.4.869 · Cited by 1,997
Cited by
Acheampong, A. O., Appiah-Otoo, I., Dzator, J., & Agyemang, K. K. (2021) · Journal of Policy Modeling · doi:10.1016/j.jpolmod.2021.09.005 · Cited by 80
Migration and Climate Change Impacts on Rural Entrepreneurs in Nigeria: A Gender Perspective
Akinbami, C. A. O. (2021) · Sustainability · doi:10.3390/su13168882 · Cited by 21
Brain Drain and Productivity Growth: Evidence From South Africa, 1947–2019
Fedderke, J., & Dong, X. (2026) · Economics of Transition and Institutional Change · doi:10.1111/ecot.70031
Metadata
- Authors
- Acosta, P., Calderón, C., Fajnzylber, P., & Lopez, H.
- Venue
- World Development
- Publisher
- Elsevier BV
- Published
- 2008-01
- Volume
- 36
- Issue
- 1
- Pages
- 89-114
- ISSN
- 0305-750X (ISSN-L)
- OpenAlex
- W3121936941
- Cited by
- 599
- References
- 29
- FWCI
- 58.71
- Type
- journal article
- Language
- en
- Open access
- green
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