Is it possible to obtain reliable estimates for the prevalence of anemia and childhood stunting among children under 5 in the poorest districts in Peru?

التفاصيل البيبلوغرافية
العنوان: Is it possible to obtain reliable estimates for the prevalence of anemia and childhood stunting among children under 5 in the poorest districts in Peru?
المؤلفون: Sikov, Anna, Cerda-Hernández, José, Haro, Eduardo
المصدر: Vol. 50 N\'um. 95 (2023): Apuntes 95
سنة النشر: 2023
المجموعة: Statistics
مصطلحات موضوعية: Statistics - Methodology, Statistics - Applications, Statistics - Computation, 62P25, 62F40
الوصف: In this article we describe and apply the Fay-Herriot model with spatially correlated random area effects (Pratesi, M., & Salvati, N. (2008)), in order to predict the prevalence of anemia and childhood stunting in Peruvian districts, based on the data from the Demographic and Family Health Survey of the year 2019, which collects data about anemia and childhood stunting for children under the age of 12 years, and the National Census carried out in 2017. Our main objective is to produce reliable predictions for the districts, where sample sizes are too small to provide good direct estimates, and for the districts, which were not included in the sample. The basic Fay-Herriot model (Fay & Herriot, 1979) tackles this problem by incorporating auxiliary information, which is generally available from administrative or census records. The Fay-Herriot model with spatially correlated random area effects, in addition to auxiliary information, incorporates geographic information about the areas, such as latitude and longitude. This permits modeling spatial autocorrelations, which are not unusual in socioeconomic and health surveys. To evaluate the mean square error of the above-mentioned predictors, we use the parametric bootstrap procedure, developed in Molina et al. (2009).
Comment: 32 pages, in Spanish language, 8 figures
نوع الوثيقة: Working Paper
اللغة: Spanish; Castilian
DOI: 10.21678/apuntes.95.1811
URL الوصول: http://arxiv.org/abs/2311.04812
رقم الأكسشن: edsarx.2311.04812
قاعدة البيانات: arXiv
الوصف
DOI:10.21678/apuntes.95.1811