Teshita Uke Chikako
Multilevel Modelling of Determinants of Youth Unemployment in Urban Ethiopia: Bayesian Estimation Approach
Bule Hora University
main objective study identify explain effects demographic socioeconomic determinant factors youth unemployment urban ethiopiathe data used study 2016 ethiopian urban employment unemployment survey ueus conducted central statistical agency csa ethiopiathe statistical methods data analysis multilevel logistic regression models bayesian multilevel models parameters estimated using maximum likelihood estimation method bayesian estimation method stata winbugs softwarethe analysis result revealed 3870 youth considered analysis 1757 454 youth unemployed 2113 546 youth employed time data collectionregion sex youth age youth literacy status marital status type training steps taken search work household size educational level found significant determinants youth unemployment urban ethiopiathe multilevel logistic model revealed random intercept better fit null random coefficient multilevel modelsthe intra correlation coefficient suggests clear variation youth unemployment status across region urban ethiopiathe result classical bayesian multilevel shows high prevalence unemployment among youth probability unemployed youth found decline increasing age literacy level training educational level household size