Rachel Leah Childers
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donskerclass.bsky.social
Rachel Leah Childers
@donskerclass.bsky.social
Econometrics, Statistics, Computational Economics, etc
University of Zurich
http://donskerclass.github.io
🇺🇲 in 🇨🇭. 🏳️‍⚧️
Ethel Cain puts on a world-class live show.
November 4, 2025 at 10:49 PM
Updated Fall time for free weekly open office hours for anyone in the world with Econometrics questions.
Wednesdays 3:30-5:30PM Central European Time (US EDT 10:30/EST 9:30AM) or by appointment; sign up and drop by!
Details and signup at: donskerclass.github.io/OfficeHours....
October 28, 2025 at 5:40 PM
I've been at this a long time....
October 4, 2025 at 9:23 AM
This post by Nan Jiang, nanjiang.cs.illinois.edu/2025/09/29/p... who knows more about RL theory than I ever will, on gaps in standard justifications for Policy Gradient, reassures me as I go through the PG lectures in interactive-learning-algos.github.io that its use is indeed a bit weird.
October 1, 2025 at 10:17 AM
I was incredibly glad to catch #jasmine4t on tour last night! They put on an amazing live show, including new tracks from the extended album, out today!
September 12, 2025 at 11:01 AM
Meta-discourse point: under DeGroot learning, signals from multiple sources are reinforced, regardless of whether such information is downstream of a common source (see e.g. stanford.edu/~arungc/CLX....) "Tagging" signals appears to reduce this bias (Möbius et al 2015) but is rarely done.
September 5, 2025 at 3:59 PM
I’m pretty sure de basement is a primary input into the cruelty production process.
August 15, 2025 at 3:58 AM
I haven't looked at the details, but this paper seems to have most of those? joelflynn.com/wp-content/u...
July 31, 2025 at 9:46 PM
Gotta get on the next level (it's full of econometric theory)
July 30, 2025 at 4:37 PM
The title, "Debiased Semiparametric U-statistics" is meaningless to the average practitioner, but indicated it had exactly the theory I needed. It was hard to find because the title is now "Machine Learning Inference on Inequality of Opportunity" about 1 implementable estimator that uses the theory
July 19, 2025 at 1:39 AM
Papers are still coming out trying to fix it to this day. The client's setting was slightly nonstandard, so even those didn't work; doing it right would require combining multiple sources of theory, including results on U-statistics, another ugly area. Luckily, I found a paper w/ general results!
July 19, 2025 at 1:39 AM
Galaxy brain take: these are all splines. Polynomial is a spline with 0 knots. Categorical and binning are 0th order splines of different bandwidths. Covariate adjustment, CIs, and order selection can be done as standard in GAMs.
This is the philosophy behind binsreg: nppackages.github.io/binsreg/
July 16, 2025 at 1:37 PM
Rakesh Vohra is pretty good at titles
June 28, 2025 at 4:29 PM
❤️
May 23, 2025 at 1:06 PM
Casey Corgi Childers
September 28, 2010-May 23, 2025
He was a very good boy.
May 23, 2025 at 12:45 PM
The new theoretical aspects of M-estimation w/ ∞-dim nuisances are mostly notation: same estimator & formulas, though with a generalized notion of derivative, under regularity. The actual challenge is performing the optimization. Also calculating derivatives, but bootstrap avoids that.
May 12, 2025 at 9:19 PM
As the semester winds down I have a gap before student final papers come in in which to read general interest economics.

Anyway, Suresh Naidu, Winston Chen, & @treballen.bsky.social have fascinating work in progress on a quantitative GE spatial model of US slavery.
dl.dropbox.com/s/uvhbdrqr88...
May 3, 2025 at 8:20 PM
I don't know; I'm pretty happy to let non-specialists come to me and learn to understand what I know starting from first principles, with time and effort.
Whether this counts as "accessible" might involve a discussion with our Office of Student Aid, though.
May 1, 2025 at 7:35 PM
Oh, thanks, I completely missed that! Expect more vibrant threads on Bayesian updating from here on out.
April 13, 2025 at 3:21 PM
Not saying, but...
April 5, 2025 at 6:28 AM
There are some very unique suggestions about unconventional sources for a medical literature review in this episode.
March 31, 2025 at 12:48 PM
Went to look up textbook results after getting the nagging feeling that an ML paper was reinventing classical ideas, and found this gem:

"Not reading to the end of Le Cam's papers became not uncommon in later years. His ideas have been regularly rediscovered."

At least they're in good company.
March 28, 2025 at 11:37 PM
Congrats on reinventing the analysis and synthesis filter banks for the Discrete Wavelet Transform.
March 26, 2025 at 1:41 PM
Cute idea. Imposing additional regularity on the difference in means has been shown to improve minimax rates in @edwardhkennedy.bsky.social et al arxiv.org/abs/2203.00837 not in an RD setting or for inference. It makes me think similar techniques might apply beyond the exactly linear CATE case.
March 19, 2025 at 2:51 AM
I made it official!
I am now legally Rachel Leah Childers.
March 7, 2025 at 3:45 PM