Yiqing Xu @yiqingxu.bsky.social · 18/06/2026🧵 Introducing ReproAI, an author-facing agentic AI plugin for replication packages: reproai.org We built this tool to help authors prepare replication packages before submission, w/ @leoyangyang.bsky.social.reproai.orgReproAI: the plugin for reproducible replication packagesAn author-facing AI plugin that helps you prepare a cleaner, reproducible replication package before submission. 13610
Yiqing Xu @yiqingxu.bsky.social · 16/06/2026I intentionally chose a red day to post this, to avoid giving the impression that I am encouraging people to buy stocks. yiqingxu.org/guide/person... 170
Yiqing Xu @yiqingxu.bsky.social · 15/06/2026My very personal reflection on the use of AI in social science, perhaps the first of many. yiqingxu.substack.com/p/ai-disarrayyiqingxu.substack.comAI DisarrayI have felt a little disarrayed recently, and I attribute it to AI. 1215
Yiqing Xu @yiqingxu.bsky.social · 05/06/20261/ Happy to share that "Factorial Difference-in-Differences" (FDID), with Anqi Zhao and @pengding00 , is out in JASA - ACS. doi.org/10.1080/0162... It has been a truly thrilling experience working with Anqi and Peng.doi.orgFactorial Difference-in-DifferencesWe formulate factorial difference-in-differences (FDID), a research design that extends canonical difference-in-differences (DID) to settings in which an event affects all units. In many panel data... 1289
Yiqing Xu @yiqingxu.bsky.social · 03/06/2026Trying to understand why synthetic control is for a while. Comments are welcome! yiqingxu.substack.com/p/what-is-sy...yiqingxu.substack.comWhat is synthetic control?What the literature has converged to in the past 20 years. 0144
Yiqing Xu @yiqingxu.bsky.social · 24/05/2026On panelView, and why we should always look at our data first.. yiqingxu.substack.com/p/plot-your-...yiqingxu.substack.comPlease look at your (panel) dataMany of the most egregious issues can be avoided by simply looking at the data. 08121
Yiqing Xu @yiqingxu.bsky.social · 15/05/2026First real post. Still learning...yiqingxu.substack.comWhy panel data, and why it’s hardWhy the use of panel data has become so popular, and why doing it well with observational data is genuinely hard. 071
Yiqing Xu @yiqingxu.bsky.social · 14/05/2026I 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.yiqingxu.substack.comNotes on Causal Inference, Panel Data, and AII decided to start writing notes on causal inference, panel data, and possibly research with and on AI. 090
Yiqing Xu @yiqingxu.bsky.social · 14/05/2026Thanks, 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. 140
Yiqing Xu @yiqingxu.bsky.social · 04/04/20261/ 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/statsclaw.aiStatsClawCollaborative AI for Stats Packages. 24610
Yiqing Xu @yiqingxu.bsky.social · 27/03/20261/2 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. 1131
Yiqing Xu @yiqingxu.bsky.social · 27/03/20261/🧵 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 22612
Yiqing Xu @yiqingxu.bsky.social · 18/02/20261/ 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 47626
Reposted by Yiqing XuCyrus Samii @cdsamii.bsky.social · 03/12/2025A blog post giving a more thorough take on survey experiments and the credibility revolution: cyrussamii.com?p=4168cyrussamii.comSurvey experiments and the credibility revolution – Cyrus Samii 67737
Yiqing Xu @yiqingxu.bsky.social · 25/08/2025Thrilled 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 🎉 1266
Yiqing Xu @yiqingxu.bsky.social · 10/06/2025Glad 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...cambridge.orgCausal Panel Analysis under Parallel Trends: Lessons from a Large Reanalysis Study | American Political Science Review | Cambridge CoreCausal Panel Analysis under Parallel Trends: Lessons from a Large Reanalysis Study 0114
Yiqing Xu @yiqingxu.bsky.social · 05/04/2025As 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. 171
Yiqing Xu @yiqingxu.bsky.social · 03/04/2025Draft “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 🧵 24212
Yiqing Xu @yiqingxu.bsky.social · 26/02/2025I 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. 031
Reposted by Yiqing XuDean Eckles @eckles.bsky.social · 24/02/2025"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... 13011
Yiqing Xu @yiqingxu.bsky.social · 21/02/2025We 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. 632797
Yiqing Xu @yiqingxu.bsky.social · 11/02/2025Looks 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 🧵 2134
