IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-21-00615.html
   My bibliography  Save this article

Remittances at record highs in Latin America: Time to revisit the Dutch disease

Author

Listed:
  • Arnoldo López-Marmolejo

    (Inter-American Development Bank)

  • Carlos Vladimir Rodríguez-Caballero

    (ITAM and Creates)

  • Daniel Ventosa-Santaulà ria

    (CIDE)

Abstract

With remittances reaching historic highs in many Latin American countries, this paper evaluates the existence of Dutch disease in that region on a country-by-country basis. To do so, we employ heterogeneous panel data models with cross-sectional dependence to estimate the determinants of the real exchange rate and calculate the effect of net remittance flows in the region by country. In this context, various countries' future economic development must address this potential loss of competitiveness.

Suggested Citation

  • Arnoldo López-Marmolejo & Carlos Vladimir Rodríguez-Caballero & Daniel Ventosa-Santaulà ria, 2021. "Remittances at record highs in Latin America: Time to revisit the Dutch disease," Economics Bulletin, AccessEcon, vol. 41(3), pages 2133-2146.
    • Handle: RePEc:ebl:ecbull:eb-21-00615
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2021/Volume41/EB-21-V41-I3-P184.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Natalia Bailey & George Kapetanios & M. Hashem Pesaran, 2016. "Exponent of Cross‐Sectional Dependence: Estimation and Inference," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(6), pages 929-960, September.
    2. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    3. Levy-Yeyati, Eduardo & Sturzenegger, Federico & Gluzmann, Pablo Alfredo, 2013. "Fear of appreciation," Journal of Development Economics, Elsevier, vol. 101(C), pages 233-247.
    4. Guillermo A. Calvo & Carmen M. Reinhart, 2002. "Fear of Floating," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(2), pages 379-408.
    5. Acosta, Pablo A. & Lartey, Emmanuel K.K. & Mandelman, Federico S., 2009. "Remittances and the Dutch disease," Journal of International Economics, Elsevier, vol. 79(1), pages 102-116, September.
    6. Emmanuel Farhi & Xavier Gabaix, "undated". "Rare Disasters and Exchange Rates," Working Paper 71001, Harvard University OpenScholar.
    7. Mahraddika, Wishnu, 2020. "Real exchange rate misalignments in developing countries: The role of exchange rate flexibility and capital account openness," International Economics, Elsevier, vol. 163(C), pages 1-24.
    8. Wishnu Mahraddika, 2020. "Real exchange rate misalignments in developing countries: The role of exchange rate flexibility and capital account openness," International Economics, CEPII research center, issue 163, pages 1-24.
    9. Ait Benhamou, Zouhair & Cassin, Lesly, 2021. "The impact of remittances on savings, capital and economic growth in small emerging countries," Economic Modelling, Elsevier, vol. 94(C), pages 789-803.
    10. Wishnu Mahraddika, 2020. "Real exchange rate misalignment in developing countries: the role of exchange rate flexibility and capital account openness," Departmental Working Papers 2020-07, The Australian National University, Arndt-Corden Department of Economics.
    11. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    12. Abadir, Karim M. & Distaso, Walter & Giraitis, Liudas, 2007. "Nonstationarity-extended local Whittle estimation," Journal of Econometrics, Elsevier, vol. 141(2), pages 1353-1384, December.
    13. Zouhair Ait Benhamou & Lesly Cassin, 2020. "The impact of remittances on savings, capital and economic growth in small emerging countries," Post-Print hal-02977748, HAL.
    14. Guha, Puja, 2013. "Macroeconomic effects of international remittances: The case of developing economies," Economic Modelling, Elsevier, vol. 33(C), pages 292-305.
    15. Alexander Chudik & M. Hashem Pesaran & Elisa Tosetti, 2011. "Weak and strong cross‐section dependence and estimation of large panels," Econometrics Journal, Royal Economic Society, vol. 14(1), pages 45-90, February.
    16. Cesar M. Rodriguez, 2016. "Economic and political determinants of exchange rate regimes: The case of Latin America," International Economics, CEPII research center, issue 147, pages 1-26.
    17. Ergemen, Yunus Emre & Velasco, Carlos, 2017. "Estimation of fractionally integrated panels with fixed effects and cross-section dependence," Journal of Econometrics, Elsevier, vol. 196(2), pages 248-258.
    18. Amuedo-Dorantes, Catalina & Pozo, Susan, 2004. "Workers' Remittances and the Real Exchange Rate: A Paradox of Gifts," World Development, Elsevier, vol. 32(8), pages 1407-1417, August.
    19. -, 2020. "Enfrentar los efectos cada vez mayores del COVID-19 para una reactivación con igualdad: nuevas proyecciones," Libros y Documentos Institucionales, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 45782 edited by Cepal.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cem Ertur & Antonio Musolesi, 2017. "Weak and Strong Cross‐Sectional Dependence: A Panel Data Analysis of International Technology Diffusion," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 477-503, April.
    2. Ma, Yechi & Chen, Zhiguo & Shinwari, Riazullah & Khan, Zeeshan, 2021. "Financialization, globalization, and Dutch disease: Is Dutch disease exist for resources rich countries?," Resources Policy, Elsevier, vol. 72(C).
    3. Natalia Bailey & Sean Holly & M. Hashem Pesaran, 2016. "A Two‐Stage Approach to Spatio‐Temporal Analysis with Strong and Weak Cross‐Sectional Dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(1), pages 249-280, January.
    4. Markus Eberhardt & Andrea Filippo Presbitero, 2013. "This Time They're Different: Heterogeneity;and Nonlinearity in the Relationship;between Debt and Growth," Mo.Fi.R. Working Papers 92, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
    5. Diego-Ivan Ruge-Leiva, 2014. "International R&D spillovers and unobserved common shocks," Working Papers 08/14, Instituto Universitario de Análisis Económico y Social.
    6. Jan Ditzen, 2021. "Estimating long-run effects and the exponent of cross-sectional dependence: An update to xtdcce2," Stata Journal, StataCorp LP, vol. 21(3), pages 687-707, September.
    7. Gazi M. Hassan & Mark J. Holmes, 2016. "Do Remittances Facilitate a Sustainable Current Account?," The World Economy, Wiley Blackwell, vol. 39(11), pages 1834-1853, November.
    8. Pesaran, M. Hashem & Chudik, Alexander, 2014. "Aggregation in large dynamic panels," Journal of Econometrics, Elsevier, vol. 178(P2), pages 273-285.
    9. Chi-Young Choi & Alexander Chudik, 2017. "Geographic Inequality of Economic Well-being among U.S. Cities: Evidence from Micro Panel Data," Globalization Institute Working Papers 330, Federal Reserve Bank of Dallas.
    10. Jibril, Halima & Chaudhuri, Kausik & Mohaddes, Kamiar, 2020. "Asymmetric oil prices and trade imbalances: Does the source of the oil shock matter?," Energy Policy, Elsevier, vol. 137(C).
    11. Cem Ertur & Antonio Musolesi, 2014. "Dépendance individuelle forte et faible : une analyse en données de panel de la diffusion internationale de la technologie," Working Papers halshs-01015208, HAL.
    12. Philip Kerner & Torben Klarl & Tobias Wendler, 2021. "Green Technologies, Environmental Policy and Regional Growth," Bremen Papers on Economics & Innovation 2104, University of Bremen, Faculty of Business Studies and Economics.
    13. Mamun, Md. Al & Sohag, Kazi & Uddin, Gazi Salah & Shahbaz, Muhammad, 2015. "Remittance and domestic labor productivity: Evidence from remittance recipient countries," Economic Modelling, Elsevier, vol. 47(C), pages 207-218.
    14. Alexander Chudik & M. Hashem Pesaran, 2013. "Large panel data models with cross-sectional dependence: a survey," Globalization Institute Working Papers 153, Federal Reserve Bank of Dallas.
    15. Dalia Ibrahim Mustafa & Ghazi Ibrahim Al-Assaf, 2022. "The Asymmetric Effects of the Determinants of Real Exchange Rate in Jordan: ‎The Role of Price Index Selection," Review of Applied Socio-Economic Research, Pro Global Science Association, vol. 24(2), pages 121-139, December.
    16. Ugurlu, Esra Nur & Razmi, Arslan, 2023. "Political economy of real exchange rate levels," Journal of Comparative Economics, Elsevier, vol. 51(3), pages 918-940.
    17. Lanzafame, Matteo & Nogueira, Reginaldo, 2013. "Inflation targeting and interest rates," MPRA Paper 46153, University Library of Munich, Germany.
    18. Chakraborty, Saptorshee Kanto & Mazzanti, Massimiliano, 2021. "Renewable electricity and economic growth relationship in the long run: Panel data econometric evidence from the OECD," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 330-341.
    19. Markus Eberhardt & Francis Teal, 2013. "No Mangoes in the Tundra: Spatial Heterogeneity in Agricultural Productivity Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(6), pages 914-939, December.
    20. Baltagi, Badi H. & Feng, Qu & Kao, Chihwa, 2016. "Estimation of heterogeneous panels with structural breaks," Journal of Econometrics, Elsevier, vol. 191(1), pages 176-195.

    More about this item

    Keywords

    Remittances; exchange rate; Dutch disease; Latin America;
    All these keywords.

    JEL classification:

    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates
    • F2 - International Economics - - International Factor Movements and International Business

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ebl:ecbull:eb-21-00615. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: John P. Conley (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.