Bias and high-dimensional adjustment in observational studies of peer effects — mentioned by pseudonom-

Thu, 08 Mar 2018 16:17:00 GMT

Whoa, that seems like a very strong claim claim and is contrary to my understanding. I know that instrumental variables can be a powerful approach, but it's not always easy to find a good instrument. And you can try to control for confounders, but it's hard to convince yourself you've gotten all of them. See, for example, https://arxiv.org/abs/1706.04692 where standard controls were of limited efficacy and it's only when they include an additional 3,700 controls that things start looking up. Then there are things like https://en.wikipedia.org/wiki/Parameter_identification_probl... and whole…

Paper and discussion history. A mention is not an endorsement.

Bias and high-dimensional adjustment in observational studies of peer effects — HN submission

Sat, 10 Feb 2018 18:33:53 GMT

Comparing Correlation and Causation in Large-Scale Facebook Experiments

2 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.

Bias and high-dimensional adjustment in observational studies of peer effects · HackerPapers discussions

Bias and high-dimensional adjustment in observational studies of peer effects — mentioned by pseudonom-

Bias and high-dimensional adjustment in observational studies of peer effects — HN submission