Welfare effect of international migration on the left-behind in Ghana: Evidence from machine learning

被引:6
作者
Martey, Edward [1 ,2 ]
Armah, Ralph [3 ]
机构
[1] CSIR Savanna Agr Res Inst CSIR SARI, Socioecon Sect, POB TL 52, Tamale, Ghana
[2] Univ Illinois, Dept Agr & Appl Econ, 414 Mumford Hall,1301 W Gregory Dr, Urbana, IL 61801 USA
[3] Univ Ghana, Inst Stat Social & Econ Res, Coll Humanities, POB LG 74, Legon, Accra, Ghana
关键词
international migration; welfare; labor supply; machine learning; Ghana; REMITTANCES; INVESTMENT; POVERTY; SELECTION; IMPACT; LABOR;
D O I
10.1093/migration/mnaa025
中图分类号
C921 [人口统计学];
学科分类号
摘要
This article examines the effect of international migration on household expenditure, labor outcomes, and poverty on the left-behind household members in Ghana using nationally representative data. The study contributes to the literature in terms of the methodology employed to reinforce the welfare effect of international migration in a developing country like Ghana. The results suggest that international migration increases household expenditures, which is largely driven by investments relative to expenditure on consumption goods. In addition, transfer of remittances to left-behind household members by migrants results in a reduction of their weekly working hours in the labor market and modestly reduces household poverty. The findings of the study suggest that the gains from international migration can be consolidated with favorable policy environment that ensures flexible conditions and terms of borrowing from banks to finance the initial expenditure related to migration. In addition, reduction in remittance transfer charges is likely to increase transfer through the formal systems, which can be captured and used for future planning.
引用
收藏
页码:872 / 901
页数:30
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