International Journal of Statistics and Applied Mathematics
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International Journal of Statistics and Applied Mathematics

2018, Vol. 3, Issue 2, Part A

A regression model approach to study the rural out migration


Author(s): Raj Kumar Yadav and Upendra Kumar

Abstract: Migration process is affected by a large number of socio economic factors like age, sex, education, occupation, marital status, economic status etc. as well as the role of social status or family attachment, characteristics of area, household and individuals. The aim of present study is to study the effect of some socio-economic variables on current migration status and to evaluate the effect of recent past prior migrants along with some other variables on current migration. An attempt has been made to find out the factors responsible for migration decision process at village level with the help of multiple regression models. We have limited the present study to ten variables which are more significant. F-ratio’s have been calculated to test the goodness of fit. Findings reveal that out migration is highly related to the past prior migration. The study shows that the pattern of out migration from the studied area is well explained by multiple regression models modified by taking prior migrants and other variables as independent.

Pages: 01-04 | Views: 591 | Downloads: 79

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How to cite this article:
Raj Kumar Yadav, Upendra Kumar. A regression model approach to study the rural out migration. Int J Stat Appl Math 2018;3(2):01-04.
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