Maholopa Laveil
3K posts

Maholopa Laveil
@MLaveil
Economics | Tweets are my own




Since we're talking about the validity of close elections RDDs today, I thought I'd drop a few recent articles about issues that arise in this space so that folks can have them all in one place. #1. Hartman (2021) shows that most tests of covariate balance around close election cutoffs fail to rule out large imbalances. Remember to equivalence test when testing for covariate balance! #2 Marshall (2022) shows that it is far from clear what effects you are estimating with close election RDD estimates of candidate characteristics. There are compound treatments at these cutoffs! #3 Stommes et al. (2023) shows that RDDs in political science, many of which are close election RDDs, are "underpowered to detect all but large effects." As with all low power tests, we should be wary not only about large standard errors, but also type M/S errors! #4 de la Cuest and Imai (2016) discuss the limited external validity of close election RDDs. Generalize beyond close elections with care!














