IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/hal-03725386.html
   My bibliography  Save this paper

Does Economic Uncertainty Foster Migrant Remittances? A Macro-Perspective from 53 Developing Countries

Author

Listed:
  • Charles Mawusi

    (UB - Université de Bordeaux)

  • Mohamed Abdallah

    (ESC PAU - Ecole Supérieure de Commerce, Pau Business School)

  • Mazhar Mughal

    (ESC PAU - Ecole Supérieure de Commerce, Pau Business School)

Abstract

The recent Global Financial Crisis and its resultant policy responses have induced a lot of uncertainty and as a consequence, reinforced research interest in economic uncertainty. Several empirical studies have since examined the effects of uncertainty with emphasis on its growth implications. Despite uncertainty being an integral part of migrants' decision-making process, its effect on remittances remains largely unknown. The present study employs a novel data on uncertainty and a system GMM approach to examine the effects of economic uncertainty on inward remittance of 53 developing countries over the period 1996-2018. The results show that heightened economic uncertainty induced a positive and statistically significant remittance response to developing and least-developed economies. This result is consistent with the altruistic behavior of migrants from developing economies, and further, suggests the importance of migrants' remittances in moderating the potential adverse effects of uncertainty.

Suggested Citation

  • Charles Mawusi & Mohamed Abdallah & Mazhar Mughal, 2022. "Does Economic Uncertainty Foster Migrant Remittances? A Macro-Perspective from 53 Developing Countries," Working Papers hal-03725386, HAL.
  • Handle: RePEc:hal:wpaper:hal-03725386
    Note: View the original document on HAL open archive server: https://univ-pau.hal.science/hal-03725386
    as

    Download full text from publisher

    File URL: https://univ-pau.hal.science/hal-03725386/document
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Matthieu Delpierre & Bertrand Verheyden, 2014. "Remittances, savings and return migration under uncertainty," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 3(1), pages 1-43, December.
    2. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    3. Alonso-Borrego, Cesar & Arellano, Manuel, 1999. "Symmetrically Normalized Instrumental-Variable Estimation Using Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(1), pages 36-49, January.
    4. Giovanni Caggiano & Efrem Castelnuovo & Juan Manuel Figueres, 2020. "Economic Policy Uncertainty Spillovers in Booms and Busts," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(1), pages 125-155, February.
    5. Junttila, Juha & Vataja, Juuso, 2018. "Economic policy uncertainty effects for forecasting future real economic activity," Economic Systems, Elsevier, vol. 42(4), pages 569-583.
    6. Narcissa Balta & Maria Demertzis & Anton Jevcak & Robert Kuenzel & Plamen Nikolov & Peter Pontuch & Eric Ruscher & Ismael Valdes Fernandez, . "Quarterly Report on the Euro Area (QREA), Vol.12, No.2 (2013)," Quarterly Report on the Euro Area (QREA), Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    7. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
    8. Paul Luk & Michael Cheng & Philip Ng & Ken Wong, 2020. "Economic policy uncertainty spillovers in small open economies: The case of Hong Kong," Pacific Economic Review, Wiley Blackwell, vol. 25(1), pages 21-46, February.
    9. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    10. Ahn, Seung C. & Schmidt, Peter, 1995. "Efficient estimation of models for dynamic panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 5-27, July.
    11. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    12. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    13. Hu, Shiwei & Gong, Di, 2019. "Economic policy uncertainty, prudential regulation and bank lending," Finance Research Letters, Elsevier, vol. 29(C), pages 373-378.
    14. Supriyo De & Ergys Islamaj & M. Ayhan Kose & S. Reza Yousefi, 2019. "Remittances over the business cycle: Theory and evidence," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 48(3), November.
    15. Arapi-Gjini, Arjola & Möllers, Judith & Herzfeld, Thomas, 2020. "Measuring dynamic effects of remittances on poverty and inequality with evidence from Kosovo," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 58(4), pages 283-308.
    16. Nguyen Phuc Canh & Nguyen Thanh Binh & Su Dinh Thanh & Christophe Schinckus, 2020. "Determinants of foreign direct investment inflows: The role of economic policy uncertainty," International Economics, CEPII research center, issue 161, pages 159-172.
    17. Yinghua Ren & Qing Guo & Huiming Zhu & Wanming Ying, 2020. "The effects of economic policy uncertainty on China’s economy: evidence from time-varying parameter FAVAR," Applied Economics, Taylor & Francis Journals, vol. 52(29), pages 3167-3185, June.
    18. HwaJung Choi, 2007. "Are Remittances Insurance? Evidence from Rainfall Shocks in the Philippines," The World Bank Economic Review, World Bank, vol. 21(2), pages 219-248, May.
    19. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    20. Narcissa Balta & Lucian Briciu & Carlos Cuerpo Caballero & Ines Drumond & Anton Jevcak & Peter Pontuch & Werner Roeger & Jan in 't Veld, . "Quarterly Report on the Euro Area (QREA), Vol.12, No.1 (2013)," Quarterly Report on the Euro Area (QREA), Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    21. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
    22. Caggiano, Giovanni & Castelnuovo, Efrem & Figueres, Juan Manuel, 2017. "Economic policy uncertainty and unemployment in the United States: A nonlinear approach," Economics Letters, Elsevier, vol. 151(C), pages 31-34.
    23. Nguyen, Canh Phuc & Le, Thai-Ha & Su, Thanh Dinh, 2020. "Economic policy uncertainty and credit growth: Evidence from a global sample," Research in International Business and Finance, Elsevier, vol. 51(C).
    24. Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
    25. Badi H. Baltagi, 2008. "Forecasting with panel data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(2), pages 153-173.
    26. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    27. Lucas, Robert E B & Stark, Oded, 1985. "Motivations to Remit: Evidence from Botswana," Journal of Political Economy, University of Chicago Press, vol. 93(5), pages 901-918, October.
    28. Narcissa Balta & Andreas Breitenfellner & Francesca D'Auria & Anca Dana Dragu & Plamen Nikolov & Peter Pontuch, . "Quarterly Report on the Euro Area (QREA), Vol.12, No.3 (2013)," Quarterly Report on the Euro Area (QREA), Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    29. Chen, Liming & Du, Ziqing & Hu, Zhihao, 2020. "Impact of economic policy uncertainty on exchange rate volatility of China," Finance Research Letters, Elsevier, vol. 32(C).
    30. Narcissa Balta & Ismael Valdes Fernandez & Eric Ruscher, 2013. "Assessing the impact of uncertainty on consumption and investment," Quarterly Report on the Euro Area (QREA), Directorate General Economic and Financial Affairs (DG ECFIN), European Commission, vol. 12(2), pages 7-16, June.
    31. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    32. Phan, Dinh Hoang Bach & Iyke, Bernard Njindan & Sharma, Susan Sunila & Affandi, Yoga, 2021. "Economic policy uncertainty and financial stability–Is there a relation?," Economic Modelling, Elsevier, vol. 94(C), pages 1018-1029.
    33. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    34. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
    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. Charles Mawusi, 2021. "Economic Uncertainty and Remittances to Developing Economies: A System GMM Approach," Working Papers hal-03147813, HAL.
    2. MAWUSI, Charles, 2020. "Economic Uncertainty and Remittances Flow: Heterogeneity Matters," MPRA Paper 103097, University Library of Munich, Germany.
    3. Youssef, Ahmed & Abonazel, Mohamed R., 2015. "Alternative GMM Estimators for First-order Autoregressive Panel Model: An Improving Efficiency Approach," MPRA Paper 68674, University Library of Munich, Germany.
    4. Osvaldo Lagares, 2016. "Capital, Economic Growth and Relative Income Differences in Latin America," Discussion Papers 16/03, Department of Economics, University of York.
    5. Bakhat, Mohcine & Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2017. "Elasticities of transport fuels at times of economic crisis: An empirical analysis for Spain," Energy Economics, Elsevier, vol. 68(S1), pages 66-80.
    6. Abonazel, Mohamed R., 2016. "Bias Correction Methods for Dynamic Panel Data Models with Fixed Effects," MPRA Paper 70628, University Library of Munich, Germany.
    7. Heath Henderson & Leonardo Corral & Eric Simning & Paul Winters, 2015. "Land Accumulation Dynamics in Developing Country Agriculture," Journal of Development Studies, Taylor & Francis Journals, vol. 51(6), pages 743-761, June.
    8. Mateo Zokalj, 2016. "The impact of population aging on public finance in the European Union," Financial Theory and Practice, Institute of Public Finance, vol. 40(4), pages 383-412.
    9. Juan Federico & Joan-Lluis Capelleras, 2015. "The heterogeneous dynamics between growth and profits: the case of young firms," Small Business Economics, Springer, vol. 44(2), pages 231-253, February.
    10. Scott, K. Rebecca, 2011. "Demand and Price Volatility: Rational Habits in International Gasoline Demand," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt2q87432b, Department of Agricultural & Resource Economics, UC Berkeley.
    11. Jan F. Kiviet, 2005. "Judging Contending Estimators by Simulation: Tournaments in Dynamic Panel Data Models," Tinbergen Institute Discussion Papers 05-112/4, Tinbergen Institute.
    12. Roberto Dell'Anno & Adalgiso Amendola, 2015. "Social Exclusion and Economic Growth: An Empirical Investigation in European Economies," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 61(2), pages 274-301, June.
    13. Seidu, Ayuba & Onel, Gulcan & Moss, Charles Britt, 2018. "Impact of International Remittance on Out-Farm Labor Migration in Developing Countries: A Dynamic Panel Data Analysis," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266531, Southern Agricultural Economics Association.
    14. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    15. Emmi Martikainen, 2014. "Does file-sharing reduce DVD sales?," Netnomics, Springer, vol. 15(1), pages 9-31, July.
    16. Dolton, Peter & Bondibene, Chiara Rosazza & Stops, Michael, 2015. "Identifying the employment effect of invoking and changing the minimum wage: A spatial analysis of the UK," Labour Economics, Elsevier, vol. 37(C), pages 54-76.
    17. Martikainen, Emmi & Schmiedel, Heiko & Takalo, Tuomas, 2015. "Convergence of European retail payments," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 81-91.
    18. Meri Davlasheridze & Pinar C. Geylani, 2017. "Small Business vulnerability to floods and the effects of disaster loans," Small Business Economics, Springer, vol. 49(4), pages 865-888, December.
    19. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    20. Scott, K. Rebecca, 2015. "Demand and price uncertainty: Rational habits in international gasoline demand," Energy, Elsevier, vol. 79(C), pages 40-49.

    More about this item

    Keywords

    Remittances; Uncertainty; GMM; Panel; Economic Policy JEL Codes: F24; D73; C23; F68;
    All these keywords.

    JEL classification:

    • F24 - International Economics - - International Factor Movements and International Business - - - Remittances
    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • F68 - International Economics - - Economic Impacts of Globalization - - - Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:hal:wpaper:hal-03725386. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.