IDEAS home Printed from https://ideas.repec.org/a/aea/aejapp/v10y2018i2p58-100.html

Asymmetric Information and Remittances: Evidence from Matched Administrative Data

Author

Listed:
  • Thomas Joseph
  • Yaw Nyarko
  • Shing-Yi Wang

Abstract

Using new large-scale, administrative data matching remittances and monthly payroll disbursals, we demonstrate how migrants' earnings in the United Arab Emirates affect their remittances. We consider several types of income changes: Ramadan, weather shocks, a labor reform and returns to time in the UAE. We demonstrate that two key characteristics of the income changes that affect the income elasticity of remittances are the observability of the income and whether the income change is positive or negative. The results are consistent with a private information model where remittances are viewed as payments in an income-sharing contract.

Suggested Citation

  • Thomas Joseph & Yaw Nyarko & Shing-Yi Wang, 2018. "Asymmetric Information and Remittances: Evidence from Matched Administrative Data," American Economic Journal: Applied Economics, American Economic Association, vol. 10(2), pages 58-100, April.
  • Handle: RePEc:aea:aejapp:v:10:y:2018:i:2:p:58-100
    Note: DOI: 10.1257/app.20160150
    as

    Download full text from publisher

    File URL: https://www.aeaweb.org/articles?id=10.1257/app.20160150
    Download Restriction: no

    File URL: https://www.aeaweb.org/articles/attachments?retrieve=qLI3SBeo7dayxwfoid6CgufsFjeKfvjW
    Download Restriction: no

    File URL: https://www.aeaweb.org/articles/attachments?retrieve=OLddhzVdFwpp44J4116C_0B_dNh-D3oK
    Download Restriction: no

    File URL: https://www.aeaweb.org/articles/attachments?retrieve=Pm-am9vz0FGWyMwsotQpMdtyxKnmDufw
    Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Aparicio Fenoll, Ainhoa & Kuehn, Zoë, 2018. "Immigrant networks and remittances: Cheaper together?," World Development, Elsevier, vol. 111(C), pages 225-245.
    2. Edouard Pignède, 2025. "Who carries the burden of climate change? Heterogeneous impact of droughts in sub‐Saharan Africa," American Journal of Agricultural Economics, John Wiley & Sons, vol. 107(3), pages 925-957, May.
    3. Cuadros-Meñaca, Andres, 2020. "Remittances, health insurance, and pension contributions: Evidence from Colombia," World Development, Elsevier, vol. 127(C).
    4. Costas Meghir & Ahmed Mushfiq Mobarak & Ahmed Corina Mommaerts & Ahmed Melanie Morten, 2019. "Migration and Informal Insurance," Cowles Foundation Discussion Papers 2185R, Cowles Foundation for Research in Economics, Yale University, revised Aug 2020.
    5. Joachim De Weerdt & Garance Genicot & Alice Mesnard, 2019. "Asymmetry of Information within Family Networks," Journal of Human Resources, University of Wisconsin Press, vol. 54(1), pages 225-254.
    6. Edwards, Ryan Barclay & Stambolie, Estelle, 2025. "The income elasticity of remittances: new evidence from financial diaries," SocArXiv 5nhq6_v1, Center for Open Science.
    7. Theoharides, Caroline, 2020. "The unintended consequences of migration policy on origin-country labor market decisions," Journal of Development Economics, Elsevier, vol. 142(C).
    8. Yalei Zhai & Hisaki Kono, 2021. "The poor receive less: Remittance behaviour of female migrants in Myanmar," Journal of International Development, John Wiley & Sons, Ltd., vol. 33(5), pages 910-926, July.
    9. Suresh Naidu & Yaw Nyarko & Shing-Yi Wang, 2016. "Monopsony Power in Migrant Labor Markets: Evidence from the United Arab Emirates," Journal of Political Economy, University of Chicago Press, vol. 124(6), pages 1735-1792.
    10. Suzanne Bellue & Matthias Doepke & Michele Tertilt, 2026. "Private Information in the Family," CRC TR 224 Discussion Paper Series crctr224_2025_738, University of Bonn and University of Mannheim, Germany.
    11. Hou, Yulin & Jia, Shaomeng, 2023. "Do remittances react to commodity windfall? Evidence from Latin America and the Caribbean," Economic Modelling, Elsevier, vol. 121(C).
    12. Stefano Carattini & Marcella Veronesi, 2020. "Trust, Temperature Fluctuations, and Asylum Applications," Working Papers 17/2020, University of Verona, Department of Economics.
    13. Ur Rehman, Obeid, 2023. "Spousal communication and information sharing: Evidence from migrants and their spouses," Journal of Development Economics, Elsevier, vol. 165(C).
    14. Baseler,Travis Andreas & Narayan,Ambar & Ng,Odyssia Sophie Si Jia & Sinha Roy,Sutirtha, 2023. "Does Food Insecurity Hinder Migration ? Experimental Evidence from the Indian Public Distribution System," Policy Research Working Paper Series 10549, The World Bank.
    15. Kate Ambler & Susan Godlonton, 2020. "Information Asymmetries and Remittance Recipient Income: A Field Experiment in Malawi," Department of Economics Working Papers 2020-12, Department of Economics, Williams College.
    16. Michael A. Clemens, 2019. "Measuring the Spatial Misallocation of Labor: The Returns to India-Gulf Guest Work in a Natural Experiment," Working Papers 501, Center for Global Development.
    17. Shrestha, Maheshwor, 2019. "Death scares: How potential work-migrants infer mortality rates from migrant deaths," Journal of Development Economics, Elsevier, vol. 141(C).
    18. De Arcangelis, Giuseppe & Fertig, Alexander & Liang, Yuna & Srouji, Peter & Yang, Dean, 2023. "Measuring remittances," Journal of Development Economics, Elsevier, vol. 161(C).

    More about this item

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • F24 - International Economics - - International Factor Movements and International Business - - - Remittances
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

    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:aea:aejapp:v:10:y:2018:i:2:p:58-100. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.html .

    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.