Elea McDonnell Feit
@eleafeit.bsky.social
460 followers 310 following 83 posts
Professor of Marketing at Drexel. Philadelphian. Bayesian.
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eleafeit.bsky.social
Inspired by @emilyriederer.bsky.social, I made some pictures for my seminar on causal inference. They are not labeled. Let's see if you can name that research design.
eleafeit.bsky.social
This paper taught me that the competition between advertisers for the most desirable ad slots is really important.
caiowaisman.bsky.social
We have a beautiful literature on experiments with interference between units but what if there’s interference between experimenters? Estimands change and in a way we can understand and unpack. I hope you enjoy this one! 😊

pubsonline.informs.org/doi/10.1287/...
Parallel Experimentation and Competitive Interference on Online Advertising Platforms | Marketing Science
pubsonline.informs.org
eleafeit.bsky.social
Chat GPT just gave me the best complement on my writing I've ever gotten.
eleafeit.bsky.social
How frequently do you meet with your students? Once a week just doesn't feel like enough when you are in the "thick" of a project.
eleafeit.bsky.social
I need to answer that email about the revision! I'm on-board, but the email got buried in my inbox.
Reposted by Elea McDonnell Feit
bengarvey.com
What a week, huh?
eleafeit.bsky.social
Or maybe youse guys data is much cleaner than mine.
eleafeit.bsky.social
Maybe my style of interactive debugging is archaic.
eleafeit.bsky.social
Sometimes I just want to know how many zeros and NAs there are in a field and I don't want to write a long dplyr chain to figure that out.
eleafeit.bsky.social
In reviewing dplyr code written by a PhD student, I'm reminded of how useful base R functions like summary() and str() are for inspecting data and detecting errors.
eleafeit.bsky.social
Happy to report that this paper has been accepted at Management Science! (At least that was reported in the ISMS Newsletter, but I can't find the paper on the Management Science website.
eleafeit.bsky.social
Joo and Chiong’s recent working paper provides a Gaussian approximation to the regret function that you can use with ✨any✨ asymptotically normal estimator. This means you can use the minimax-regret criteria with your favorite treatment effect estimators: diff-in-diff, ML estimators.
screenshot of cited paper
Reposted by Elea McDonnell Feit
eleafeit.bsky.social
Joo and Chiong’s recent working paper provides a Gaussian approximation to the regret function that you can use with ✨any✨ asymptotically normal estimator. This means you can use the minimax-regret criteria with your favorite treatment effect estimators: diff-in-diff, ML estimators.
screenshot of cited paper
eleafeit.bsky.social
I know you were responding to @blasimon.bsky.social, but wanted to chime in to say I agree they are very strong parametric assumptions. We tried to spell that out as clearly as we could.
eleafeit.bsky.social
To help marketing reviewers and editors understand the untestable assumptions of causal inference methods, Dominik Papies, Peter Ebbes and I wrote this "menu" as part of our chapter on "Endogeneity and Causal Inference in Marketing". (Preprint: dx.doi.org/10.2139/ssrn...)
Image shows an excerpt from the chapter.
eleafeit.bsky.social
An important plea from @lizstuart.bsky.social in today's SCI-OCIS Special Webinar Series:
A warning and a plea
- As fields start to use more advanced quantitative / "cause" methods, there is a desire to help consumers of the research (four journal reviewers, editor) to easily assess the study quality and validity (e.g. JAMA causality language) 
...
- We need to push against this - need ways to help people understand and assess the (inherently untestable) assumptions in many studies.
eleafeit.bsky.social
Maybe we should get out the vacuums?
eleafeit.bsky.social
#Eagles and #Dragons fly together!
💚🦅🤍 💙🐉💛
Drexel will close on Friday to join the rest of #Philly in celebrating the Champions!
eleafeit.bsky.social
I made it home! Everyone was a little bleary-eyed on Monday. 🦅🦅🦅