The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
The impact of remittances on economic growth: An econometric model
Open accessAbstract
Remittances in the world represent one of major international financial resources, which sometimes they exceed the flows of foreign direct investment (FDI). For centuries, there have been heated debates on the sources of economic growth in developing economies and also why some countries reflect strong economic growth comparing to others. This study aims to observe the impacts of remittances on economic growth, using panel data set of six high remittances receiving countries, Albania, Bulgaria, Macedonia, Moldova, Romania and Bosnia Herzegovina during the period 1999–2013. These countries have experienced a major increase in remittance inflows, and at this time accounts for the bulk of total remittance receipts, compared with other regions. Most countries, remittances represent the largest source of foreign exchange earnings and represent more than 10 percent of GDP. In other words, the econometric analysis will be based on those six remittance receiving countries. The paper is then to review the empirical literature devoted to the impact of remittances on economic growth, in order, to identify empirically if there are significant relationships between remittances and growth in these countries. The results suggest that remittances have a positive impact on growth and that this impact increases at higher levels of remittances relative to GDP. As remessas no mundo representam um dos principais recursos financeiros internacionais, que por vezes ultrapassam os fluxos de investimento diretto estrangeiro (IDE). Durante séculos, tem havido acalorados debates sobre as fontes de crescimento econômico em economias em desenvolvimento e também porque alguns países refletem forte crescimento econômico em comparação com outros. Este estudo tem como objetivo observar os impactos das remessas sobre o crescimento econômico, usando o conjunto de dados de seis países receptores de remessas, a Albânia, a Bulgária, a Macedônia, a Moldávia, a Romênia e a Bósnia-Herzegovina durante o período 1999-2013. Esses países experimentaram um grande aumento nos fluxos de remessas e, neste momento, respondem pela maior parte das receitas totais de remessas, em comparação com outras regiões. Na maioria dos países, as remessas representam a maior fonte de divisas que correspondem a mais de 10% do PIB. A análise econométrica será baseada nos seis países receptores de remessas. O trabalho objetiva rever a literatura empírica dedicada ao impacto das remessas sobre o crescimento econômico, a fim de identificar empiricamente se há relações significativas entre remessas e crescimento nesses países receptores de remessas. Os resultados sugerem que as remessas têm um impacto positivo no crescimento e que esse impacto aumenta com o nível de remessas em relação ao PIB.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Abadie, A., Diamond, A., & Hainmueller, J. (2010) · Journal of the American Statistical Association · doi:10.1198/jasa.2009.ap08746 · Cited by 5,513
Comparative Politics and the Synthetic Control Method
Abadie, A., Diamond, A., & Hainmueller, J. (2015) · American Journal of Political Science · doi:10.1111/ajps.12116 · Cited by 2,406
Trade Liberalization, Exit, and Productivity Improvements: Evidence from Chilean Plants
Pavcnik, N. (2002) · The Review of Economic Studies · doi:10.1111/1467-937x.00205 · Cited by 1,777
Workers' Remitt ances: An Important and Stable Source of External Development Finance
Ratha, D. (2005) · Cited by 884
Migration, Remittances, and the Family
Stark, O. (1988) · Economic Development and Cultural Change · doi:10.1086/451670 · Cited by 722
Assessing Economic Liberalization Episodes: A Synthetic Control Approach
Billmeier, A., & Nannicini, T. (2013) · Review of Economics and Statistics · doi:10.1162/rest_a_00324 · Cited by 506
Detecting Learning by Exporting
Loecker, J. D. (2013) · American Economic Journal: Microeconomics · doi:10.1257/mic.5.3.1 · Cited by 489
Export Restrictions and Price Insulation During Commodity Price Booms
Martin, W., & Anderson, K. (2012) · American Journal of Agricultural Economics · doi:10.1093/ajae/aar105 · Cited by 388
Distortions to Agricultural Incentives: A Global Perspective, 1955-2007
(2009) · World Bank, Washington, DC eBooks · doi:10.1596/978-0-8213-7665-2 · Cited by 264
Melitz, M., & Redding, S. (2012) · National Bureau of Economic Research · doi:10.3386/w18652 · Cited by 227
Cited by
Impact of Remittances on Economic Growth: Empirical Evidence from South-East European Countries
Bucevska, V. (2022) · South East European Journal of Economics and Business · doi:10.2478/jeb-2022-0006 · Cited by 46
Khan, A. A., Hidthir, M. H. B., Mansur, M., & Ahmad, Z. (2025) · Cogent Economics & Finance · doi:10.1080/23322039.2025.2476093 · Cited by 24
“Likewise, Meyer and Shera (2017) contend that remittances spur short-run economic stability; however, the long-term growth dividend of remittances is conditional upon, the absorptive capacity of the economy (financial sector development and investment opportunities).”
Afridi, M. A., Khan, I., Rahman, H. U., & Khan, M. R. (2026) · Journal of Economic and Administrative Sciences · doi:10.1108/jeas-05-2024-0143 · Cited by 6
Remittance–economic growth linkage in Africa: the roles of financial development and inflation
Yakubu, I. N., Issaku, K. M., & Oumarou, S. (2025) · Cogent Social Sciences · doi:10.1080/23311886.2025.2595306 · Cited by 4
“Several studies demonstrate a positive impact. for example, Meyer and Shera (2017) found that remittances significantly promote economic growth, especially when they form a substantial share of GdP. Similarly, Adjei et al. (2020) reported that remittances support growth in West Africa, particularly…”
Metadata
- Authors
- Meyer, D., & Shera, A.
- Venue
- EconomiA
- Publisher
- Emerald
- Published
- 2017-05
- Volume
- 18
- Issue
- 2
- Pages
- 147-155
- ISSN
- 1517-7580 (ISSN-L)
- OpenAlex
- W2471662348
- Cited by
- 408
- References
- 15
- FWCI
- 50.50
- Type
- journal article
- Language
- en
- Open access
- diamond
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- creativecommons.org/licenses/by-nc-nd/4.0/ (vor)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The impact of remittances on economic growth: An econometric model. https://app.cochat.ai/papers/10.1016/j.econ.2016.06.001
- The paper
- Meyer, D., & Shera, A. (2017). The impact of remittances on economic growth: An econometric model. EconomiA. https://doi.org/10.1016/j.econ.2016.06.001
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.