Asymmetric Information and Remittances: Evidence from Matched Administrative Data
Author(s) -
Thomas Joseph,
Yaw Nyarko,
Shing-Yi Wang
Publication year - 2018
Publication title -
american economic journal applied economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 12.996
H-Index - 82
eISSN - 1945-7782
pISSN - 1945-7790
DOI - 10.1257/app.20160150
Subject(s) - payroll , earnings , economics , labour economics , affect (linguistics) , matching (statistics) , payment , demographic economics , finance , linguistics , philosophy , statistics , mathematics , accounting
Using new data matching remittances and monthly payroll disbursals, we demonstrate how fluctuations in migrants' earnings in the United Arab Emirates affect their remittances. We consider three types of income fluctuations that are observable by families at home: seasonalities, weather shocks and a labor reform. Remittances move with all of these income changes. Remittances do not move with an individual's growth in earnings over time. The slope of the relationship between earnings and time in the UAE varies across individuals and is not easy to observe by families. Thus, a key characteristic that drives remittance behavior is the observability of income rather than other features of these fluctuations. The results are consistent with a private information model where remittances are viewed by the migrant worker as payments to their families in an income-sharing contract.Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.
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