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Remittances and GDP in Jamaica: An ARDL Bounds Testing Approach to Cointegration

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  • Anupam Das
  • Adian McFarlane
  • Young Cheol Jung

Abstract

Similar to other developing nations, Jamaica’s remittances, specifically inflows, are an important source of income support and foreign exchange earnings. Anecdotally, much has been said about the relationship between remittances and GDP in this country. Yet, less has been established using rigorous statistical inference. We test for unit roots with structural breaks and use the autoregressive distributed lag (ARDL) approach to cointegration to help fill this lacuna in the literature on Jamaica. Using annual data for the 1976–2014 period, we examine the relationship between GDP and remittances, both measured in constant 2010 US dollar terms, as we control for the common determinants of economic growth. The main finding is that GDP and remittances are cointegrated relationship wherein they both reinforce each other positively. This finding is statistically robust as the ARDL models have well-behaved errors and parameters that are generally stable over the period. We discuss policy implications of this finding.

Suggested Citation

  • Anupam Das & Adian McFarlane & Young Cheol Jung, 2019. "Remittances and GDP in Jamaica: An ARDL Bounds Testing Approach to Cointegration," International Economic Journal, Taylor & Francis Journals, vol. 33(2), pages 365-381, April.
    • Handle: RePEc:taf:intecj:v:33:y:2019:i:2:p:365-381
    DOI: 10.1080/10168737.2019.1597144
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    Cited by:

    1. Acheampong, Alex O. & Appiah-Otoo, Isaac & Dzator, Janet & Agyemang, Kwabena Koforobour, 2021. "Remittances, financial development and poverty reduction in Sub-Saharan Africa: Implications for post-COVID-19 macroeconomic policies," Journal of Policy Modeling, Elsevier, vol. 43(6), pages 1365-1387.
    2. Brown, Leanora & McFarlane, Adian & Campbell, Kaycea & Das, Anupam, 2020. "Remittances and CO2 emissions in Jamaica: An asymmetric modified environmental kuznets curve," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    3. Li, Xuelin & Yang, Lin, 2023. "Natural resources, remittances and carbon emissions: A Dutch Disease perspective with remittances for South Asia," Resources Policy, Elsevier, vol. 85(PB).
    4. Ali Emam , Md & Chen, Tinggui & Leibrecht, Markus, 2021. "Inward Worker Remittances and Economic Growth: The Case of Bangladesh," Asian Journal of Applied Economics/ Applied Economics Journal, Kasetsart University, Faculty of Economics, Center for Applied Economic Research, vol. 28(2), pages 43-62, December.
    5. Tampubolon, Jongkers, 2023. "Food and agricultural sector in Indonesia’s economic growth during COVID-19 pandemic: an ARDL approach," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 9(2), June.
    6. Ahmed, Walid M.A. & Sleem, Mohamed A.E., 2023. "Short- and long-run determinants of the price behavior of US clean energy stocks: A dynamic ARDL simulations approach," Energy Economics, Elsevier, vol. 124(C).
    7. Eunice Adu-Darko & Emmanuel K Aidoo, 2022. "Government Stability in the Remittance-Economic Growth Link in Ghana," International Journal of Applied Economics, Finance and Accounting, Online Academic Press, vol. 14(1), pages 1-14.
    8. Das, Anupam & Brown, Leanora & Mcfarlane, Adian, 2023. "Economic Misery and Remittances in Jamaica," Journal of Economic Development, The Economic Research Institute, Chung-Ang University, vol. 48(2), pages 33-52, June.
    9. Hassane Gharbi & Abu Elnasr E. Sobaih & Nadir Aliane & Ayth Almubarak, 2022. "The Role of Innovation Capacities in the Relationship between Green Human Resource Management and Competitive Advantage in the Saudi Food Industry: Does Gender of Entrepreneurs Really Matter?," Agriculture, MDPI, vol. 12(6), pages 1-17, June.
    10. Georgeta Soava & Anca Mehedintu & Mihaela Sterpu & Mircea Raduteanu, 2020. "Impact of Employed Labor Force, Investment, and Remittances on Economic Growth in EU Countries," Sustainability, MDPI, vol. 12(23), pages 1-31, December.

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