The use of microdata versus aggregated data in teaching and learning migration statistics

Abstract

Data analysis and visualization of real data is important when it comes to teach and learn social phenomena, such as migration, unemployment, poverty, etc. The interdependency of the variables allows for the use of multivariate techniques along with rich and authentic data from official agencies or other data providers. However, certain phenomena are confidential at individual level, or are not easy to capture, so raw data is not always available for certain types of data. The purpose of this paper is to share a teaching experience at the tertiary level using individual data of migration, where students explore several socioeconomics aspects related to migration in the overall population dynamics using micro and macrodata.