  This paper introduces an alternative procedure for estimating the prevalence
of international migration at the municipal level in Colombia. The new
methodology uses the empirical best linear unbiased predictor based on a
Fay-Herriot model with target and auxiliary variables available from census
studies and from the Demographic and Health Survey. The proposed alternative
produces prevalence estimates which are consistent with sample sizes and
demographic dynamics in Colombia. Additionally, the estimated coefficients of
variation are lower than 20% for municipalities and large
demographically-relevant capital cities and therefore estimates may be
considered as reliable.
