Yiqing Xu
@yiqingxu.bsky.social
📤 532
📥 126
📝 75
Stanford researcher. Work on applied stats, AI (?), China.
On panelView, and why we should always look at our data first..
yiqingxu.substack.com/p/plot-your-...
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Please look at your (panel) data
Many of the most egregious issues can be avoided by simply looking at the data.
https://yiqingxu.substack.com/p/plot-your-panel-data
8 days ago
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First real post. Still learning...
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Why panel data, and why it’s hard
Why the use of panel data has become so popular, and why doing it well with observational data is genuinely hard.
https://yiqingxu.substack.com/publish/post/197816978
17 days ago
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I started a substack... to jot down my thoughts and learning notes on causal inference, panel data, and AI --- and maybe a few other random events along the way.
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Notes on Causal Inference, Panel Data, and AI
I decided to start writing notes on causal inference, panel data, and possibly research with and on AI.
https://yiqingxu.substack.com/p/notes-on-causal-inference-panel-data
19 days ago
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Thanks, Anton, for the adverticement. We believe this is just one small attempt of combinine the (minimally) structural apporach with DML -- randomization is doing a lot of work here, too.
add a skeleton here at some point
19 days ago
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1/ Happy to release StatsClaw — an open-source multi-agent workflow for building statistical software with AI. w/
@tianzhuqin.bsky.social
Site:
statsclaw.ai
Paper:
bit.ly/statsclaw
GitHub:
github.com/statsclaw/
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StatsClaw
Collaborative AI for Stats Packages.
http://statsclaw.ai
about 2 months ago
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1/2 Important caveat: Computational reproducibility does not imply credibility, especially w.r.t. to research design. In the scientific literature, *reproducibility* means reproducing results using authors’ code and data, whereas *replication* goes beyond what was originally done or provided.
2 months ago
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1/🧵 A major update to our paper: "Scaling Reproducibility" w/ Leo Yang [Cross-posted from X] We move beyond reanalyzing a single design to (almost) full-paper replication! Paper:
bit.ly/repro-ai
2 months ago
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1/ Sorry for double-posting from X. Sharing a new working paper for the Year of the Horce 🐎: "An AI-assisted workflow that scales reproducibility in empirical research" (
bit.ly/repro-ai
) w/ Leo Yang Yang
3 months ago
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reposted by
Yiqing Xu
Cyrus Samii
6 months ago
A blog post giving a more thorough take on survey experiments and the credibility revolution:
cyrussamii.com?p=4168
add a skeleton here at some point
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Preliminary. Comments are welcome!
add a skeleton here at some point
6 months ago
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Thrilled to share that **fect** has won the 2025 Best Statistical Software Award from the Society of Political Methodology. We're honored!
polmeth.org/statistical-...
To celebrate, we've just released fect v2.0.5 on CRAN & Github 🎉
9 months ago
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Honored by this recognition!
add a skeleton here at some point
9 months ago
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Glad this paper is finally out in
@apsrjournal.bsky.social
, five years after we began the project. Hope it proves useful to researchers.
www.cambridge.org/core/journal...
Software support:
yiqingxu.org/packages/fec...
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Causal Panel Analysis under Parallel Trends: Lessons from a Large Reanalysis Study | American Political Science Review | Cambridge Core
Causal Panel Analysis under Parallel Trends: Lessons from a Large Reanalysis Study
https://www.cambridge.org/core/journals/american-political-science-review/article/causal-panel-analysis-under-parallel-trends-lessons-from-a-large-reanalysis-study/219275E0CE901F099F2CFFBA07079243
12 months ago
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As a Chinese immigrant living in the U.S., I have witnessed declines in optimism purely due to the drastic erosion of existing institutions—first around 2015 in my home country, and now, in 2025, in the United States. It's devastating.
about 1 year ago
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Draft “A Practical Guide to Estimating Conditional Marginal Effects: Modern Approaches” is on arXiv:
arxiv.org/pdf/2504.01355
w/ two amazing grad students, Jiehan_Liu & Ziyi Liu 🧵
about 1 year ago
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I woke up at 5:30 a.m. today, and the first thing on my mind was Stefan Zweig’s The World of Yesterday: Memoirs of a European, a book I loved as a child. His despair stuck with me and feels especially relevant now.
over 1 year ago
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reposted by
Yiqing Xu
Dean Eckles
over 1 year ago
"The bottom 80% of earners spent 25% more than they did four years earlier, barely outpacing price increases of 21% over that period. The top 10% spent 58% more."
www.wsj.com/economy/cons...
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We streamlined six new DID-like estimators and created this tutorial for implementation in R.
yiqingxu.org/packages/fec...
Hope you no longer need to spend months figuring out what these estimators are and how to use them.
over 1 year ago
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Looks like everyone is here 😆 1/ Recently, Professor Uri Simonsohn critiqued Hainmueller, Mummolo & Xu (2019), arguing that the proposed methods fail to recover the conditional marginal effect (CME):
datacolada.org/121
We appreciate the critique and offer this response:
arxiv.org/pdf/2502.05717
🧵
over 1 year ago
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