David Van Dijcke Profile picture
PhD @umichECON. Academic Visitor @bankofengland. Alum @lmhoxford, @LeuvenEconomics. 🇧🇪🇺🇲. Views mine. Apple says my research draws 'inaccurate conclusions'.
Apr 9 9 tweets 4 min read
I coded up an open-source, not-for-profit AI paper reviewer that rivals the performance of @reviewer3com, @RefineInk, and Stanford Agentic Reviewer (according to @GeminiApp). Costs <$2!

Live @ . Plug in paper, @OpenRouter key, and email. #econtwitter. coarse.inkImage Some details on the performance comparisons to other popular systems are here


These are all judged by Gemini-3.1-pro, so caveats apply.

Anecdotally, some of my colleagues said it rivals reviews from @RefineInk, when using a SOTA model. coarse.ink/compareImage
Apr 9, 2025 12 tweets 4 min read
I'm excited to share my job market paper (for the 2025-26 market)!

It introduces a new extension of RDD where outcomes are entire distributions: Regression Discontinuity Design with Distributions (R3D).

Thread below 👇 (1/) Image The method is useful when aggregate units receive treatment, but your outcome varies within the unit.

E.g., firms receive a subsidy when their revenue (X) drops below a cutoff, and you want to study this subsidy's effect on the employee wage distribution

(2/) Image
Jan 15, 2025 10 tweets 4 min read
Our new @Stata package for Distributional Synthetic Controls (disco) is live! 🕺💃🪩 #econtwitter

It implements the method in Gunsilius (2023). Thread below. (1/8)

Install it using

🪩net install disco, from("raw.githubusercontent.com/Davidvandijcke…") replace🪩

github.com/Davidvandijcke… If your outcome data is at a lower level of aggregation than the treatment, 🪩disco🪩 lets you estimate synthetic control designs for entire distributions instead of just the mean. This lets you fully exploit your data and estimate distributional effects, not just averages (2/8) Image
Apr 13, 2020 7 tweets 5 min read
Our paper "The COVID-19 Pandemic: Government vs. Community Action Across the United States" is out as an @INETOxford Working Paper now! Joint with @AdamBrz, @guido_deiana and Valentin Kecht. Brief discussion below. #COVID2019 (1/7)
inet.ox.ac.uk/publications/n… Using @SafeGraph data from 40MM devices across the US, we show that state- and county-level #lockdown policies can increase time spent at home by as much as 39%, or 4.7 hours per day. The below behavior still remains largely inexplicable, though. (2/7)