Paper on trees for addressing self-selection in impact studies now published in MIS Quarterly

Many studies use quasi-experiments, which are similar to randomized experiments except that subjects are not randomly assigned to the treatment and control groups. The result is what's called "self-selection bias", which requires special analysis correction for valid inference about the treatment effect.

Pages

Subscribe to Galit Shmueli RSS