Multiple correspondence analysis, Clustering and Tandem Analysis through a basic income analysis example

Okay… So there were several basic income experiments launched in 2017, Finland started a two-year experiment by giving 2,000 unemployed citizens approximately $600 a month. In the Silicon Valley, Y Combinator, announced in mid-2016 that it would begin paying out monthly salaries between $1,000 and $2,000 a month to 100 families in Oakland, while in Utrecht, Netherland 250 Dutch citizens will receive about $1,100 per month. These are just three of the already launched experiments, and their aim is to measure how basic income could provide new structure for social security and to see how people’s productivity levels change when they receive a guaranteed salary.

But how people think about basic income? Are we supportive of it or we fear it? Who is the most likely to vote for it? Is there a difference between people according to their education or job status who are more pro or contra of this idea? This study aims to answer these question by using a semi-supervised approach, Clustering and a Tandem analysis to classify people according to their characteristics and their opinion of basic income.

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