| dc.description.abstract | The movement of labor resources from one country to another continues to occur in the global world of today through international migration as workers embark upon overseas journeys looking for better employment opportunities, or simply employment. The positive spillovers from such international migration in the migrant countries have been frequently discussed in migration literature. This study has attempted to add to the existing vault of related research on the possible effects of international migration in the origin countries by investigating its role in the alleviation of poverty. Using the South Asian developing nation of Bangladesh as its empirical setting, this study is the first to employ a logit regression model followed by a quantile regression model on the data from a survey of 1205 households in 2013. The estimation calculations were performed in STATA/SE (v15.1). The objective was to assess if international migration and remittances are reducing poverty in the country, and if so, at which levels in the income chain these effects are more or less significant in magnitude. From the logit regression results, after attempting to solve for endogeneity using an instrumental variable, it was found that international migration has reduced poverty by odds ratios of 12% by increasing household per capita income. Similarly, receiving remittances from abroad has also mitigated poverty by odds ratios of 9%. Using a quantile regression on per capita income with an instrumental variable, it was found that the largest amount of per capita income gains was enjoyed by the richest households in the income quantiles. This finding implies that although international migration and remittances had a poverty reducing effect, the overall prevalence of such an effect in the economy was small as the poorer households which were closer to the poverty line were not having the biggest income gains. I sincerely hope that interested readers and other researchers find the results of this study useful and would encourage more research with different tactics for the construction of a concrete conclusion. Keywords: international migration, remittances, poverty, logit regression, quantile regression, instrumental variable | eng |