ABSTRACT
We have already analyzed the extent to which Latinos and Latino subgroups suffer from residential segregation. The next question is what causes this segregation. The task of proving what causes residential segregation is extremely difficult and from a statistical perspective is nearly impossible. Causation is always a difficult task in social sciences. Instead of attempting to show cause and effect, the use of statistical regression models help shed light on which types of demographic, socio-economic and housing variables most influence the level of statistical segregation. This approach is an appropriate first step in any statistical gathering exercise and will give a better understanding of the relationship between residential segregation and various statistical variables.
