Data Combo: Combining open data and econometric modelling to understand voter's motivations
Introduction
Causality is the area of statistics that is most commonly misused and misinterpreted, by non-specialists. Media sources, politicians and lobby groups often leap upon a perceived correlation, and use it to 'prove' their own beliefs. They fail to understand that, just because results show a correlation, there is no proof of an underlying causality. This situation happens to be specifically true during election periods where many debates take place and where a simple correlation may be soon wrongly interpreted as a causation...