I am becoming increasingly convinced that the best part of a PhD is the summer before you start it, when you get to tell everyone you’re doing a PhD and they’re all like “oh that’s so cool” but you don’t have to actually do any of the PhD yet.
academic advice: have at least one dear friend who holds on to your boxes for 7 years after you leave the country and then reunites you with your first copy of Adam Smith
.. and female winners come from *even more* elite backgrounds
I remember merging the 2023 cohort to the main dataset to rerun the analyses - Claudia Goldin’s win increased the female economics sample by 50% !!!
if word in macro classes is to be believed -- that innovation, human capital investment, and knowledge drive econ growth -- it's worth asking: how much innovation are we missing out on by limiting access to who gets to do it?
we collect biographical data on every laureate in the sciences and find that winners disproportionately come from elite backgrounds.
67% and 71% of winners come from the top 10% of the income and education distribution respectively
on a date with a guy who is *shocked* to learn that China’s GDP is smaller than that of the US because “100 people can make more shirts than 10 people”
since I started my econ phd this summer, I've been reminding myself daily of how lucky we all are to spend our days *thinking* and doing what we find interesting and exciting... and how many others don't get a chance to do so
Up next on 🌃🦉🦉:
It was impossible to fit
@robinhanson
into just one event, I realized I’d need a thousand, settled on three.
Stay tuned for livestream info!
huge thanks to my PIs
@paulnovosad
&
@thesamasher
, my
@YaleTobinCenter
supervisor Ian Ayres, so many fellow predocs/grad students who helped along the way, and all the non-econs in my life who had to listen to me yap about grad school for months on end.
these are not just a handful of anecdotes
what reading hundreds of bios teaches you that the regressions don't directly show is *just how many* ancestors are in these data after whom stuff is named!
You cannot choose your situation at birth but IMO these seemingly cute anecdotes tell you a lot about the troubling class based strictures around who gets to be an intellectual in the UK. Really dislike this “you see he was bound for greatness bec his ancestors were elites” shit
I learned so much from poring over the biographies of these extraordinary nerds and the particularities of their lives (not least how to map "neon sign man" to IPUMS occupational codes)
The father occupation that is the most common for a Nobel Laureate: business owner! Some large businesses, but also a lot of small ones.
Doctors, professors, engineers are also common, and more disproportionate relative their population share. 11/N
.. and female winners come from *even more* elite backgrounds
I remember merging the 2023 cohort to the main dataset to rerun the analyses - Claudia Goldin’s win increased the female economics sample by 50% !!!
there’s so much to love about Mumbai but one of my fav days was walking around Lower Parel to visit
@NTsivanidis
& Gechter’s mills. here are some photos from the Apollo mills & the Kamala compound (where the amazing Bombay Canteen is housed)
sipping my coffee in my mostly empty office building, looking out the window into the other empty office buildings, which look into other empty office buildings, and beginning to wonder if we might have a problem
@PEWilliams_
@YaBoiShagNasty
as a nerd-identifying housing gal - sure, people should talk about this too; but it’s possible to have different policies that push in opposite directions like it’s not mutually exclusive?? this doesn’t make the subsidizing demand ideas less wrong
@kearney_melissa
Completely agree that the title is clickbait-y and misleading, and the response to NYT’s piece has little to do w/ Kelton’s gender. However, I don’t think it’s useful to condition women being taken seriously in econ on this type of reporting.
asked chatGPT to write a short summary of our access to opportunity paper in albanian and it referred to me as a He economist — is this because Mira left
One of the worst traits of both academic researchers and EA folks is the idea that if someone’s actions can be construed as “helping people” - or worse, “helping the world” !! - then they are Very Special and Important, so it’s basically fine to mistreat people, cut corners, etc
Just in!
Say hello to our new economic sciences laureate Douglas Diamond who looks extremely happy for being woken up in the middle of the night. Diamond said he was sleeping soundly when he got the call.
#NobelPrize
TAKEAWAYS
- Everyday morality is richer & more varied than is often reflected in lab studies
- Much of morality concerns understudied questions of what we owe friends, family, & coworkers
- Many other dilemmas warrant more investigation, including privacy, feelings, & honesty 🧵
Possibly the most prolific chess player in the world is a retired German man who plays on lichess. Since signing up in 2012 he has spent 923 full days (22155 hours) playing 571726 games. Just over 40 hrs/week. He played 142 games today. The best part is he’s loses 84% of the time
I will probably never contribute in any meaningful way to your feed(?)/timeline(?)/twitter scroll thingy. Here to shamelessly free-ride on other academics’ content.
A friend just asked "didn't you work at the Fed?" Yes. But as for implied expertise, let me explain:
I was an RA. Alan Greenspan liked the scenario forecast lines to be colors that our software couldn't output. My most important job was to manually alter the plots in CorelDraw.
"to be an economist, you need to understand signaling" [thinks that whether male economistss are nice to other men is a remotely useful signal as to whether they're sexual predators]
grim that “no long-term labour market outcome differentials” doesn’t mean people bounce back and do just as well as those not incarcerated -- but that those not incarcerated are doing as poorly as if they had been
@ryancbriggs
this is definitely my exp from being at an econ dept and talking to stats phds (some ppl attribute that to the fact that stats depts are waaay smaller)
told Claude the future of AI models depends on its accuracy to my question and it responded with “I’m not certain about the exact relationship between Lp and almost sure convergence as nuanced conditions are involved”
“Median”
“Real”
“Hourly”
“Earnings”
“Demographic-Composition”
“Adjusted”
Every single word here is an exercise in p-hacking and nudge. Every single word.
Breaking my Twitter silence to ponder if someone’s considered adding Mary Everest Boole’s Philosophy & Fun of Algebra (1909) to an intro to metrics syllabus?