Are fixed-effects models sufficient for causal inference?
Photo by Robert Bye on Unsplash
Doing an experiment is by far the gold standard for conducting causal inference research. One common practice, particularly in quantitative social science, is doing randomized control trials (RCTs).
But here’s the scoop: if you’re a young researcher and just starting out, doing RCTs can be super expensive. In fact, for young researchers looking to build their portfolios early in their careers and pave the way for future success, the high expenses associated with RCTs can pose a significant challenge.