Impacts of socio-demographic characteristics on male migrants: Logistic regression approach

Abstract

The study of migration is the key importance not only in Demography but also in Population Studies. Migration is the primary stage of development. Migration is related to development, urbanization, industrialization as well as technological advancement. The aim of this study is to observe the effects of socio-economic and demographic factors on male migrants. The sample data of 700 respondents was collected by multi-stage sampling technique at Meherpur Sadar thana at Meherpur district, Bangladesh. In this paper, logit regression model has been used to determine the influential factors of migration. The study shows that the most of the male migrants are migrated due to services. The analysis indicated that age, place of birth, occupation, monthly income and land property have significant effects on causes of migration among the selected variables in the case of considering dependent variable as causes of migration. Whereas on the other hand, place of birth, monthly income, type of family and land property have significant effects on the type of migration. Moreover, using the cross validation predictive power (CVPP) criterion and R2 , the shrinkage coefficient (.) is constructed. The shrinkage coefficient determines the adequacy of the model.