Labor, Public, Applied Econometrics | AP @ClarkUniversity | PhD @UWMadison | https://teapawt.net/t.co/NBn2L4k6qz
Worcester, MA
Joined April 2010
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Very happy that my PhD JMP has found an incredible home. This is special as it was part of the process of discovering my interest to understand the equilibrium of unequal outcomes.
From the very inception of the idea, I can only recall tremendous support from everyone at grad school with whom I spoke, who came to my presentations and stayed back to chat more, hours of discussions with my best buddies and my committee members. Many thanks to you all and I hope to pay it forward! ❤️ #EconTwitter
Under incomplete info, preferences and beliefs both drive choices. Varying info and eliciting compensating differentials identifies both, circumventing non-innocuous variance normalizations as a dollar's value is invariant across info. @MoshiAlam et al.
econometricsociety.org/publi…
Moshi Alam retweeted
The dominant model people use to think about AI's effect on the labor market is automation. But perhaps commoditization is a better model. Automation implies job apocalypse. Commoditization implies plentiful jobs with low wages. 1/
Moshi Alam retweeted
Fantastic initiative. I took the “Little Red Schoolhouse” course and it was one of the highest value courses I’ve ever taken. I still go back to my notes.
If you are @UChicago, I cannot recommend enough taking their writing classes.
UChicago has launched the Chicago Center for Writing, a new hub for writing across campus. It will anchor a new Core requirement, the first major change to the College’s writing curriculum in over 30 years, built for the era of AI.
Learn more: ms.spr.ly/6014afKGC
Moshi Alam retweeted
I forbade Dylan from writing about the minimum wage, as my advisors once forbade me. He defied me, and I'm very glad of it.
An awesome project using incredible firm-level data to understand how wage, employment, and price effects of MW changes connect to theory.
Why do min wage studies disagree?
New data shows firms just below the new min add jobs and cut prices. Those at the old one do the reverse. That's new evidence of monopsony.
Firm mixes—not models—differ by hike.
Read Dylan’s paper: economics.uchicago.edu/direc…
#EconJobMarket #minwage
ALT Graphic promoting University of Chicago Kenneth C. Griffin Department of Economics job market candidate Dylan Balla-Elliott. His job market paper is "The many effects of the minimum wage: new evidence on employment and prices", and his research focuses are labor and econometrics.
Moshi Alam retweeted
There are many thoughtful critiques of this line of work. This is not one of them. Sad to see @margrev engage in this. Only upside is that the post clearly illustrates the need to have humans in the loop in social science...at least for now :)
Errors in the research of Emmanuel Saez and Gabriel Zucman marginalrevolution.com/margi…
Moshi Alam retweeted
Can AI conduct qualitative interviews with thousands of people? In a new REStud paper, Friedrich Geiecke and @XJaravel develop an open-source approach that combines the depth of qualitative interviews with the scale of surveys.
1/6
Moshi Alam retweeted
Looking forward to co-hosting this IDEA session. We hope to have an engaging discussion on writing papers and navigating the publication process. If you are interested in joining, please register and share a question you would like the editors to address.
idea.devecon.org/career-skil…
Writing Papers and Responding to Reviewers — the session early-career researchers keep asking for.
Mon, Nov 30 · 11 AM ET · Virtual
@EdmondsEric, James Fenske, Randi Hjalmarsson, @aprajitmahajan
Free: idea.devecon.org/career-skil…
@deanyang @willafriedman @sohamsahoo @ideadevecon
Moshi Alam retweeted
I have an economics paper about this, and I suspect that AI is making it worse:academic.oup.com/qje/article…
Moshi Alam retweeted
strong endorse of this. So far at least, AI writing on academic economics, and AI summaries, are not great in terms of prioritizing what is and isn't important, or how to write academic econ well.
A signature feature of academic AI writing is (currently) that it is has bad judgment on what is important and what is not important, even refine.ink.
This is one of the most damaging AI "tells", b/c it reflects bad judgment on the part of the author as well. 1/
Moshi Alam retweeted
I've considered that thought experiment
Consider this thought experiment: "University X has seen graduation, retention rates increase after new adopting policy of giving all students As, regardless of how they perform -- and whether they even come to class."
Not far from reality in many cases.
calmatters.org/education/hig…
Moshi Alam retweeted
🚨Understanding Migration Responses to Local Shocks
New version of paper with @borusyak and Brian Kovak!
1/6 Many papers find that local labor demand shocks have sizable effects on wages and employment, but surprisingly small or imprecise effects on local population.
Moshi Alam retweeted
Ok, this is in progress! Here's a preview
(Top-5 pubs from the last ten years with a simple TWFE specification + replication data; matched samples between TWFE, Callaway-Sant'Anna, and Borusyak-Jaravel-Spiess)
with thanks to Astra, Kevin Chen, & Jon Roth
Moshi Alam retweeted
PhD students do this sometimes — and since they're new to research and writing, often the AI *can* express the ideas better than them.
But if you outsource this step, when are you going to get good at it?
I worry this practice may be cognitively disabling.
Moshi Alam retweeted
Many reasonable concerns but it is bad/odd to ban the submission of letters. Admit committees could bayesian update...banning hurts those who came to econ late and have no other real options. Banning only benefits those from an elite college who wanted to do econ as freshman...
Moshi Alam retweeted
Aditya Ghosh, Stefan Wager and I have a new paper on regression discont designs. arxiv.org/abs/2503.09907 nber.org/papers/w35699Two contributions: (1) a new PLRD estimator in the spirit of the Armstrong-Kolesar (2018) and Imbens-Wager (2019) optimal weights approach. (1/9)
Moshi Alam retweeted
Looking forward to next Friday chamberlain seminar.
We will discuss recent advances in econometrics for the study of development programs and RCTs in a joint session with @PpM_O and @MikeGechter .
Here is the link with details chamberlainseminar.org
Moshi Alam retweeted
My wife is also on the education policy job market this year if you are looking for a terrific education policy/comparative education candidate. As a PhD student, she has 9 publications and over 100 citations.
Moshi Alam retweeted
Just out in the Journal of Political Economy!
With Silvia Saccardo and Sally Sadoff, we find that incentives increased the share of weeknights students slept at least 7 hours by 26% and improved grades by 0.10–0.11 SD. @PittTweet
doi.org/10.1086/740221
Moshi Alam retweeted
Apropos of nothing in particular: Something I learned when I was a student at HBS is that, from a competitive strategy perspective, leaning into self-commoditization is generally ill-advised because it makes it easier for others to copy or supersede your product.
One implication for AI in education is that one wants to look for ways in which the tools expand the capabilities of our pedagogy, rather than serving as a commoditized replacement for it.
Moshi Alam retweeted
We’re super delighted to host Simon’s new book, Deep Learning for Solving and Estimating Dynamic Models in Economics and Finance❣️❣️❣️
Thrilled that "Deep Learning for Solving and Estimating Dynamic Models in Economics and Finance," found a home at @QuantEcon. Access the e-book/code here: quantecon.org/books/ . Huge thanks to Matt McKay, @john_stachurski , Tom Sargent, QuantEcon team for making this happen!
