Jordan Lawson
Research Software Engineer at Brown University with experience in statistical modeling, software development, and DevOps.
Session
07-10
19:00
30min
A Deferred Acceptance propensity score package in Julia
August Guang, Jordan Lawson
The deferred acceptance (DA) propensity score approach is a highly credible causal inference method due to its ability to approximate a randomized control trial (RCT) closely. However, this method is typically very complicated and computationally expensive to run, with no published package available in any programming language ecosystem. We developed a package in Julia to run the DA propensity score approach that will be easy for applied researchers in education to use and implement.
Posters
Else (1.3)