Dana Scott

PhD candidate @YaleEconomics, on the JM in 2025/26. Mostly labor. Spare time: elite (cat 1) road bike racer + 2:44 marathoner. She/her

[Dana Scott @danascoot]

I'm on the job market! A little bit about my JMP here 👇

[Yale Department of Economics @YaleEconomics]

Why do some firms limit workplace flexibility, and what does that mean for inequality?

Dana Scott's JMP shows that technological constraints make flexibility costly for some firms, shaping the trade-offs workers—especially women—face between flexibility and pay.

Website: https://t.co/uTHEoupxYQ
@danascoot

[Neale Mahoney @nealemahoney]

Blockbuster paper from all-star team (@john_eric, @ChrisANeilson, @Xiaoyang_Ye, Seth Zimmerman)

https://t.co/fSFiwBtvPy

[Dana Scott @danascoot]

@faustocoppi60

[Dana Scott @danascoot]

@annastansbury My instinct is running (track + road) – Kenya and Ethiopia (two historical powerhouses + notably not rich countries) have national talent ID pipelines that make it possible for talented runners from small villages to get into the system early on

[Philip Mulder @Philipcheesy1]

🚨New working paper with @key_z_e addressing the data gap on property insurance markets.  We develop a new dataset with over 47 million observations of homeowners insurance expenditures. https://t.co/fqFeWvwnqx

The map of 2023 premiums shows massive heterogeneity:

[Dana Scott @danascoot]

@nandinigupta201 @SMukherjee89 Omg I literally just got one of these 😭

[Dana Scott @danascoot]

are the kids for real

[Dana Scott @danascoot]

@dannyegold I study and read. I bet I've read everything you read. Don't think I haven't. I consume libraries. I wear out spines and ROM-drives. I do things like get in a taxi and say, "The library, and step on it."

[Arpit Gupta @arpitrage]

France seems to be crushing it:

• Builds housing
• Builds transit (Anglo country difficulty level: impossible)
• Leading Europe esp on defense
• Green: nuclear, bikes etc
• High birth rates in declining world; Paris seems like highest birth rate large metro

[Dana Scott @danascoot]

@dynarski Absolutely not! Alternate hard and easy days. You'll be able to push harder on the hard days if you take easy days easy

[Dana Scott @danascoot]

I was in a bookstore the other day and a guy walked in and asked where the theology section was. After being told there was no theology section, defeated, he asked if they had a copy of Thinking Fast and Slow

[Library Mindset @librarymindset]

50 Books To Master 10 Skills

[DFA New Haven @DFANewHaven]

when you're at new haven union station and reminded that diversification and resiliency are key to any successful business strategy

[Dana Scott @danascoot]

i love lana del rey her lyrics are so deep

[antifa🔻girlfriend @lllliatttt]

ive been muttering “diet pepi pepi diet mountain dew” to myself all morning

[Giuseppe Cavaliere @CavaliereGiu]

Hi #EconTwitter!✍️

Working on perfecting your writing style for #economics papers and essays?

Check out this useful resource by @VaranyaChaubey on improving your research paper writing skills. Tailored for PhD candidates and postdocs but useful for everyone!

Plus, don’t miss Varanya’s 2020 guide on refining the first draft of your paper.

Highly recommended! ⭐️

Links
How to improve: https://t.co/6ZXZJC6etK
Research writing: https://t.co/0JOw8s1a2R

[Lídia Farré @farre_lidia]

📢 Call for papers. Submit your paper to the "Gender and Work" workshop that will take place in Barcelona, October 14 and 15, 2024. Confirmed keynotes: @OlleFolke and @Paola_Profeta . More here👇: https://t.co/rUN7P67mtN

[Ashvin Gandhi @ashdgandhi]

I’ve successfully filed 8 FOIAs and won 3 FOIA lawsuits. The following thread is a guide to filing a FOIA request as a researcher, including templates and real example filings.

Please RT! If this thread is helpful, I'll write a Part 2 on filing FOIA lawsuits.

1/10

[Dana Scott @danascoot]

for an ε-small fee i will attend your talk and make a comment that is δ > 0 different from all the others

[Dana Scott @danascoot]

@Joe_Bruch Ya he did an ok job too

[Dana Scott @danascoot]

The GOAT pareto improving trade

[“paula” @paularambles]

nobody has won at life more in recent history than the guy who sold wordle to the nytimes for seven figures

[Dana Scott @danascoot]

Leontief production function just dropped

[Jason Wei @_jasonwei]

For most companies, hiring more people is strictly better. However, this is often not true in AI research. AI research is often bottlenecked by compute, and when this is the case, hiring more researchers can be counter-productive.

I remember back at Google Brain, my manager once said we had one headcount and asked who we should hire. I responded that hiring someone will basically be counterproductive and we should try to trade the headcount for TPUs/GPUs instead. For example, if a researcher needs 100 GPUs to do their research and the team is already bottlenecked by compute, there is no point hiring them because everyone else on the team will simply take a hit in productivity in waiting for GPUs.

So an interesting hiring consideration is how many GPUs a potential hire will need to do their work. Hiring an extra person could feel like progress but if you don't scale GPUs at the same rate that you scale number of people on the team, the productivity of the team might not improve.

This leads to a conclusion that I believe is true but not advertised explicitly: people who are able to do good work with few GPUs can be more hirable/flexible/productive on teams that are compute-bottlenecked, compared to people who only know how to do work if they have 1k GPUs at their disposal.

(One caveat though---if the new people you hire will use GPUs *more productively* than the current team, that could be OK since net team productivity will increase, even though productivity per person decreases. Conversely, if the new person you hire needs to use many GPUs and doesn't use them well, then both net team productivity and productivity per person will decrease.)