Shanthi Manian

Assoc. Prof., WSU Pullman. Development econ, global health, behavioral. she/her

[Shanthi Manian @shanthim]

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.

[The Review of Economics and Statistics (REStat) @restatjournal]

Loan officers do not discriminate against female business owners in Ethiopia. Just Accepted new paper by Ketki Sheth @ketkidsheth Shanthi Manian @shanthim and Shibiru Ayalew @ShibiruAyalew https://t.co/iQhWRSM5F6

[VoxDev @vox_dev]

An experiment in Ethiopia finds no evidence that loan officers discriminate against female business owners. https://t.co/jseXL8Kyhn

[Shanthi Manian @shanthim]

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.

[VoxDev @vox_dev]

An experiment in Ethiopia finds no evidence that loan officers discriminate against female business owners. Their decisions reflect the fact that once detailed info about the business is available, accounting for gender does not help identify which businesses will perform well.

[Shanthi Manian @shanthim]

Also check out our article in @vox_dev: https://t.co/qBHfoRsgAS

[Shanthi Manian @shanthim]

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.

[Shanthi Manian @shanthim]

Ungated paper link here: https://t.co/9tNJmFfSjG

Thanks to our funders, @CEGA_UC and @The_IGC and and our implementing partner, the Entrepreneurship Development Institute in Ethiopia.

[VoxDev @vox_dev]

🆕 Do loan officers discriminate against women-owned businesses?

Today on VoxDev, @ketkidsheth (@UTKnoxville), @shanthim (@WorldBankGroup) & @ayalew_shibiru (Adama Science and Technology University) discuss evidence from Ethiopia: https://t.co/jseXL8Kyhn

[Joe Weisenthal @TheStalwart]

How much p-hacking is happening among AI benchmark makers?

IE: Coming up with 100 model capability tests, and then only publishing results that show a nice upward slope that matches our intuitions about improving strength over time?

[Jess Hoel @Jess_Hoel]

Hey @AnthropicAI, I am so SO SOOO frustrated!! How do I escalate to a human agent? Fin is not helping and neither is Claude itself.

I tried to upgrade to Pro in February through https://t.co/MVgnhLiqFm but was told the billing details didn't go through...

[Paul Novosad @paulnovosad]

AI has an insane rate of progress when we observe what it does for jobs that take place on screens.

Progress is slower for jobs in the world of atoms.

Since the intellectual class spend all their time on screens, it's easy to think "AI will do all the jobs!"

We are like 15th century farmers thinking about mechanization. If you mechanized agriculture, what other jobs could there even be?

Perhaps employment in the on-screen sector will shrink to a small percentage.

Of course stuff on screens affects things in the real world too. But the rate of progress is different. On screens (i.e. in simulation), the self-driving car problem has been solved for many years. IRL, we are still years and years away from replacement of human drivers.

I think one reason for divergent predictions on how much AI will matter is that the "6% growth" AI experts are extrapolating from stuff on screens to stuff with atoms, while the "3% growth" economists are not.