Study On The Diversity And Predictors Of Internal And International Migration In Bangladesh: A Panel Data Approach
Sabbir Tahmidur Rahman, Dr. Md. Zakir Hossain, Mohammad Mahmood Riad
Index Terms: Panel data, Household, Migration, Profile, Predictor, Logistic Regression, Poisson Regression.
Abstract: In Bangladesh, migration across the national boundary is not far behind from migration within the country. This study has made an attempt to compare and contrast between these two types of migration and drag out the determinants of migration towards internal and international destination based on their household characteristics. The study found considerable differences between internal and international migration according to present age of the migrants, age at migration, sex of the migrants, educational status of the migrants, purpose of migration, relationship of the migrants with the household head, pre-migration occupation of the migrants and job informants at the time of migration. Multiple binary logistic regression models and Poisson regression models have been developed separately for determining the predictors of internal and international migration at household level. Two different techniques were adopted to do same thing in order to check whether predictors vary according to techniques and find out the common determinants. Both the techniques were almost identical in predicting the determinants of internal and international migration as the results indicate that landholding, education of the household head, age of the household head and household size have had significant effect on the decision of internal migration. On the other hand, occupations of the household head, annual income of the households and economic status of the household were found to have significant impact in case of international migration.
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