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Migration Status and Remittance Behavior: New-Survey Evidence from Egypt

Kevin Smith & Ahmed Wassal Elroukh

International Migration Review2026https://doi.org/10.1177/01979183251413192article
AJG 1ABDC A
Weight
0.50

Abstract

This paper makes the first empirical contribution to investigating the relationship between migration status and remittance behavior among Egyptian migrants. Using new individual-level data from the 2023 wave of the Egypt Labor Market Panel Survey and a probit regression, this paper estimates the impact of having legal entry to and work authorization in the host country on the likelihood of sending remittances. Additionally, the paper utilizes a supervised machine learning approach, the Random Forest algorithm, to identify the most influential variables in predicting remittance behavior. The analysis finds that legal entry into a host country plays a significant role in remittance behavior, with an increase in remittance by 16 percentage points compared to those with no legal entry. However, the Random Forest analysis suggests that being a married woman is the most influential factor associated with a higher likelihood of remitting.

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https://doi.org/https://doi.org/10.1177/01979183251413192

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@article{kevin2026,
  title        = {{Migration Status and Remittance Behavior: New-Survey Evidence from Egypt}},
  author       = {Kevin Smith & Ahmed Wassal Elroukh},
  journal      = {International Migration Review},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1177/01979183251413192},
}

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Migration Status and Remittance Behavior: New-Survey Evidence from Egypt

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.