Estimación del ingreso promedio por localidades en Bogotá mediante el uso de muestreo en áreas pequeñas

Abstract

In this work we propose a methodology to estimate the average income in the localities of Bogota for 2011 by using small area estimation methods. We use information available from the multipurpose survey (DANE, 2011) and in order to improve the precision estimates we use auxiliary variables such that the multidimensional poverty index, the valorization index and the population projections. We find that the precision of estimates increases when the Fay-Herriot model is implemented. Moreover, the use of small area estimation methods is an alternative for improving the precision of index estimates in social surveys through survey sampling designs and auxiliary variables from different sources.