Share this page!

Enter URL or ID to Unroll

You can paste full URL like: https://x.com/threadreaderapp/status/1644127596119195649
or just the ID like: 1644127596119195649

How to get URL link on X (Twitter) App

  1. On the Twitter thread, click on or icon on the bottom
  2. Click again on or Share Via icon
  3. Click on Copy Link to Tweet
  4. Paste it above and click "Unroll Thread"!
  5. More info at Twitter Help
Bharat Chandar Profile picture
Bharat Chandar
@econ_b
Research at Stanford Institute for Human-Centered AI and Digital Economy Lab PhD in Economics from Stanford GSB Substack: https://t.co/gR3Gwu4PwR
Oct 14 • 4 tweets • 1 min read
NEW: AI and Labor Markets: What We Know and Don’t Know

There is a lot we don't know! I wrote an essay outlining where we need more research. A short thread with a link to the piece: - AI is likely not leading to widespread employment disruption so far, but young workers may be feeling the brunt
- We need to be studying impacts on education way more
- We need to do more economic modeling of alternative policy choices

Full essay: digitaleconomy.stanford.edu/news/ai-and-la…
Aug 26 • 13 tweets • 5 min read
Is AI already impacting the job market?

A new paper from me, @erikbryn, and @RuyuChen at @DigEconLab digs into data from ADP.

We find some of the ***first large-scale evidence of employment declines for entry-level workers in AI-exposed jobs.***

A thread on our paper: Image We observe millions of workers each month. Use this cut the data finely by age and occ.

What do we find?
Stories about young SW developers struggling to find work borne out in data
Employment for 22-25 y/o developers ⬇️ ~20% from peak in 2022. Older ages show steady rise. Image
Jun 3 • 8 tweets • 3 min read
Is Gen AI leading to job loss?

I analyzed US labor market data (CPS) from the post-ChatGPT era (Q4 2022 - Q1 2025) to see what's actually happening to employment in AI-exposed jobs. Spoiler: it's nuanced. 🧵 Image Occupations most exposed to AI (from Eloundou 2024) have NOT seen an aggregate decline in employment or earnings growth compared to the least exposed jobs.

But there are interesting trends when we dive into specific jobs... Image
Image
Nov 20, 2024 • 12 tweets • 5 min read
Excited to share my #JMP! #EconTwitter

How has composition of college grads changed over time? What are implications for the college wage gap?

I estimate the college wage gap would have grown 4x faster from 2002-2019 if composition held fixed!

drive.google.com/file/d/1UeQ7SH…Image Background: college wage gap >60% in 2019 even as share of workers w/ a college degree grew to over 40%

Implies growing relative demand for college workers (Katz-Murphy)

But changes in college share also affect composition of college grads!

@arpitrage tinyurl.com/m95sa64p
Oct 21, 2019 • 25 tweets • 5 min read
My paper "The Drivers of Social Preferences: Evidence from a Nationwide Tipping Field Experiment," with @UriGneezy, John List, and Ian Muir is now out as an NBER working paper. We analyze over 40 million tipping outcomes on the Uber app in 2017. THREAD

nber.org/papers/w26380 First facts:

16% of UberX trips are tipped

60% of riders who took at least 10 trips never tipped

Conditional on tipping, people tip a little more than $3 on average (about 26% of the fare), so the average tip, including cases where the rider did not tip, is about $0.50