Variables with descriptive statistics.

This study investigates the well-being effect of international migration and remittance on human and gender development in selected South Asian countries. The study has adopted panel regression analysis using secondary data from the World Development Indicators and United Nations Development Programme. This database contains information on seven South Asian countries from 1995 to 2020. The study simultaneously applied the Levin-Lin-Chu, Breitung and IM-Pesaran unit root tests to check the stationarity of data. After satisfying the condition, econometric models such as Fixed and Random Effects were executed. Pesaran’s test of cross-sectional independence, the Westerlund test for cointegration and VIF tests were performed in order to check the robustness of the results. As a post-diagnostic tool, the Hausman test suggests that the Fixed Effect models are appropriate for each estimation. The results demonstrate that personal remittance positively and significantly affects human and gender development. Similarly, international migration significantly influences human development while negatively affecting gender development. The study suggests that these countries should prioritize attaining higher remittances by sending more international migrants. Similarly, the provision of cheaper formal channels for remitting money and giving incentives can be effective for higher remittance inflow. Moreover, negotiation at the government-to-government level can effectively expand the international labour market of the selected countries.