Losing a parent is hard for everyone. Last Wednesday my mother passed away after being in coma for last 15 years. I could not reach in time for her last rites-something that will haunt me forever. It’s hard to express my emotions. I want to share few things that she taught us.

Come join us! Great school in a great university in a great city. I moved here 18 months ago and am happy to answer any questions!

Prof. Abhiroop Mukhopadhyay, Indian Statistical Institute, Delhi, will deliver the keynote address at the 18th edition of the IMR Doctoral Conference (IMRDC), to be held on 11-12 January 2027 at IIMB. Register: iimb.ac.in/imrdc2027/delegat… More information: iimb.ac.in/node/833

Very happy to be in South Bend for this event hosted by @LEOatND tomorrow.

A powerful way to give back to the community that has given us so much! Please sign up if you are interested in mentoring advanced PhD students who are getting ready to join the field 👇

Five years ago, @econmentoring started with 32 mentees and 22 mentors. This year: 72 mentees, 42 mentors, from 55 institutions across 16 countries. As we start year six, we’re asking for your help to keep growing: give.northeastern.edu/boston… 5 year report: dropbox.com/scl/fi/p3qszhu8o…

Very happy to share a new paper, “Technology Bottlenecks: Measuring Where AI Could Raise the Value of Work It Cannot Yet Do.” AI exposure measures ask about the work AI is capable of doing. We ask instead where the marginal value of work AI cannot yet do may rise as AI speeds up the rest of the job. To do so, we employ 288 million U.S. job postings mapped line by line to their closest O*NET tasks and GPT-4 feasibility ratings from Eloundou et al. (2024) to construct a measure, “bottleneck pressure,” for each task in each occupation that posts it. Using a simple task-based framework, we derive this pressure at the task level, showing that for an AI-infeasible task it is the exposure of the occupation that posts it, so the same task can face very different bottleneck pressure in different jobs. Reporting bottleneck pressure alongside AI exposure shows both the scope for AI to perform work and where improving the work it cannot do may pay off more as capabilities expand.

RT @readingkafka: I’ll be speaking on rural public libraries and community engagement at the Cachar Cancer Hospital & Research Centre next…

New research by @AditiBhowmick18 et al finds that upward mobility in South Asia is higher in cities, with the urban mobility premium substantially higher for women than for men. Mechanisms are less patriarchal social norms and higher returns to education paulnovosad.com/pdf/fuma.pdf

I'm hiring a full-time RA jointly with Rodrigo Adao, @BrentNeiman, and @HansbergRossi to work on topics relates to trade and spatial economics! Please see more details in the link below: job-boards.greenhouse.io/bfi…

as a founder of @RefineDotInk, discussion around this new paper is v. interesting! The results confirm that AI reviews are incredible for detailed, actionable feedback to improve a manuscript. If AI is better, should AI replace human review? Quick view from the trenches 1/

On my way to CDMX for the BREAD/@ITAM_mx /@AgendaCAF Conference on Development Economics bread-mexico-2026.github.io/ @marome1 @ImranRasul3 Looking forward to being back to ITAM and seeing a great set of papers

My department is hiring! Please help circulate, and feel free to reach out if you have any questions about the position or the (absolutely wonderful) department at Purdue! philjobs.org/job/show/32533

Four editors on what happens to your paper after you hit submit. Publishing in Economics Journals: An Insider's Perspective held by @ideadevecon Mon, Nov 30 · 11 AM ET · Virtual Eric Edmonds, James Fenske, Randi Hjalmarsson, Aprajit Mahajan. Free: idea.devecon.org/career-skil…

In the current @EJ_RES ‘Roots of Cultural and Linguistic Traits' by Oded Galor, Ömer Özak, Assaf Sarid doi.org/10.1093/ej/ueaf117 @RoyalEconSoc #EconTwitter

Do loan officers discriminate against women entrepreneurs? In a paper with @ketkidsheth & @ShibiruAyalew just published in @restatjournal, we use a field experiment in a large-scale, high-stakes natural context to show that they do not.