The aim of this article is to study the educational self-selection problem of Cuban migration to the US. For this analysis, we specify and estimate a binary logit model to analyse the observable covariates that explain migration probability. The data used in the study came from the 2010 Census of Population and Housing in the US and from the 2002 Cuba Census of Population and Housing, both data set have been provided by IPUMS (2010) and IPUMS International (2011). The results indicate that education, age and occupational covariates explain migration probability. Moreover, there is a positive educational self-selection problem, that is, those people with a higher education migrate. The principal contribution of this article is to demonstrate how high-level education increases the probability of Cubans emigrating. The positive educational self-selection problem has significant negative consequences, for example, loss of human capital.