Abstract

This descriptive study investigates internal and external labor migration by Nepalese youth. External labor migration is separated into the flow to India, which is unregulated, and the flow to other countries, which typically takes the form of temporary contract migration to countries with bilateral labor agreements with Nepal (referred to in Nepal as foreign employment). The study finds that labor migration by Nepalese youth is extensive and male dominated. The regions with the highest rates of labor outmigration are rural Terai, rural Hills, and Mountains. Female labor migration is mostly within Nepal, whereas male labor migration is mostly to other countries. Most labor migrants are wageemployed, and engage in services. Labor migration is positively associated with education attainment for women, but negatively associated for men. Labor migration is also positively associated with household economic status for women. Just four destination countries (Malaysia, Qatar, Saudi Arabia, and the United Arab Emirates) account for the majority of foreign employment workers. Nepal’s foreign employment system faces several challenges, including implementation shortcomings in the government’s institutional arrangements for workers, and the substantial market power of private recruitment agencies over workers. Male foreign employment outflow appears to be mainly associated with economic and other forces in the top destination countries. Male youth labor migration has negative effects on the likelihood of employment and hours worked for female and male youth household members who remain at home, although the effects are not consistently significant.

Highlights

  • The extent of labor migration by Nepalese youth is so large that it deserves special attention within the broader discussion of Nepal’s youth employment

  • While we report regression results for all Nepal, we estimate regressions for the three regions in the country that have the largest male youth labor migration outflows, namely rural Hills, rural Terai, and Mountains, under the assumption that patterns and correlates may be stronger for these regions

  • We examine the effects of alternative household-level treatment indicators, namely whether the household had a male youth labor migrant who: (1) sent remittances; (2) had migrated internally; (3) had migrated to India; or (4) had migrated to another external destination

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Summary

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This work is a product of the staff of The World Bank with external contributions. The findings, interpretations, and conclusions expressed in this work do not necessarily reflect the views of The World Bank, its Board of Executive Directors, or the governments they represent. The World Bank does not guarantee the accuracy of the data included in this work. The boundaries, colors, denominations, and other information shown on any map in this work do not imply any judgment on the part of The World Bank concerning the legal status of any territory or the endorsement or acceptance of such boundaries. Nothing shall constitute or be considered to be a limitation upon or waiver of the privileges and immunities of The World Bank, all of which are reserved

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Introduction
Conclusion
Average marginal effects
Age Age squared
District dummies
District dummies Observations
Conditional on NEA
Selfemployed employed in in industry in
Ordinary Least Squares and Binomial Logit Estimations
Findings
From other external destinations
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