Modelling Age at First Marriage of Female Adolescents in Bangladesh
Keywords:Age at first marriage, cluster correction, weight adjustment and logistic regression analysis.
Age at first marriage has an important impact on population growth rate. Modelling age at first marriage is very crucial since the growth rate of Bangladesh is very high. Here logistic regression model has been used for modelling age at first marriage using Bangladesh Demographic and Health Survey (BDHS-2011) data. The BDHS data was collected under two stage stratified sampling plan. That is why cluster correction and weight adjustment is necessary for analyzing this data. An extensive literature search fails to find the usage of these adjustments for modelling age at first marriage. In this paper, these two adjustments have been used for modelling and the prediction performance of the model has been measured by the training and test error.
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