Spatial Distribution of Malnutrition among Children Under Five in Nigeria: A Bayesian Quantile Regression Approach

摘要: Issues of malnutrition among young children in developing countries are gaining more attention policy-makers because the adverse effects on well-being people and economic these nations. Anthropometric variables used for determining measured through z-scores where those whose measures fall into extreme ends scores considered malnourished. Conditional mean regression has been adopted to examine determinants but often times, covariates would have effect mean, no substantial influence quantiles. We adopt Bayesian quantile approach measure spatial distributions childhood undernutrition at state local government levels Nigeria. Markov random fields P-splines were as priors nonlinear components respectively estimation was MCMC technique. Results show existence north-south divide Nigeria that observed socioeconomic could little distribution across space country.