Those possible explanations translate straightforwardly into Bayes net fragments. If we had data, it would be pretty straightforward to actually infer the strength of each explanation.
“Liberal arts” is a weird category. Economics has similar aptitude-demands as STEM fields, so people considering economics should also consider STEM fields.
Those possible explanations translate straightforwardly into Bayes net fragments. If we had data, it would be pretty straightforward to actually infer the strength of each explanation.
How effective are those techniques in practice? Have any similar sociology/economic problems been convincingly resolved with Bayesian networks in the absence of randomization or instrumental variables?
Great post!
Those possible explanations translate straightforwardly into Bayes net fragments. If we had data, it would be pretty straightforward to actually infer the strength of each explanation.
“Liberal arts” is a weird category. Economics has similar aptitude-demands as STEM fields, so people considering economics should also consider STEM fields.
The “What’s It Worth” link is broken; here’s one that works: https://cew.georgetown.edu/wp-content/uploads/2014/11/whatsitworth-complete.pdf
How effective are those techniques in practice? Have any similar sociology/economic problems been convincingly resolved with Bayesian networks in the absence of randomization or instrumental variables?