Please elaborate. I haven’t used entropy balancing or difference in differences, but those articles explain that their purpose is to try to tease out causation. What - exactly - is the linguistic trick, if they actually did use an entropy balanced Poisson regression and difference of differences?
"Teasing out causation" is exactly why this methodology fails. You are confusing the intended purpose of a statistical tool with its real-world validity. No one is questioning what an Entropy-Balanced Poisson Regression or a Synthetic Difference-in-Differences model is designed to do.
The issue is that the authors have profoundly violated the mathematical assumptions required for these tools to actually function. Throwing high-level econometric terms into an abstract does not make the underlying logic scientific, but rather acts as a linguistic tuxedo on a fundamentally broken causal claim.
If you cannot see through economic (and other) confounders that invalidate their approach and their biased statements, I cannot help you. This isn't science. Getting an LLM to run an SDID model and spit out a result doesn't = science.
Please elaborate. I haven’t used entropy balancing or difference in differences, but those articles explain that their purpose is to try to tease out causation. What - exactly - is the linguistic trick, if they actually did use an entropy balanced Poisson regression and difference of differences?