Estimación de la tasa de desempleo e ingreso medio del departamento de Cundinamarca utilizando estimación en áreas pequeñas
Fecha
2019-12-30Registro en:
Zea, J & Mendoza, D (2019). Estimación de la tasa de desempleo e ingreso medio del departamento de Cundinamarca utilizando estimación en áreas pequeñas(Tesis de pregrado). Univesidad Santo Tomás. Bogotá, Colombia.
reponame:Repositorio Institucional Universidad Santo Tomás
instname:Universidad Santo Tomás
Autor
Mendoza Castrillón, Daniel
Institución
Resumen
In this article, we propose using principal components analysis in a context of high-dimensional spaces to obtain orthogonal variables to use as auxiliary information in Fay-Herriot (FH) and spatial Fay-Herriot (FH). The accuracy are computed for direct, Fay-Herriot and proposed estimator. An empirical application with R ecosystem (dplyr, ggplot2, survey, and other R packages) is carried out using 2017 Bogotá Multipurpose Survey (EMB2017), a household survey with socioeconomic and demographic information of Bogotá and surrounding municipalities. In particular, percapita average household income and unemployment rate are estimated, then a benchmark of proposal estimators with classical FH estimator is carried out (Molina, 2015). The work illustrates how the spatial Fay - Herriot estimator with selected components from PCA has the best performance in terms of accuracy.