Vaibhav Anand

Assistant Professor of Risk and Insurance @StJohnsU, Tobin College of Business. PhD @UWMadison, Wisconsin School of Business.

[Vaibhav Anand @vaifin]

1/ Excited to share that my paper "Does Getting Forecasts Earlier Matter? Evidence from Winter Advisories and Vehicle Crashes" is forthcoming in AEJ Policy!

ungated version available at SSRN: https://t.co/jJtBS8jUtg

[AEA Journals @AEAjournals]

Forthcoming in AEJ: Economic Policy: "Does Getting Forecasts Earlier Matter? Evidence from Winter Advisories and Vehicle Crashes" by Vaibhav Anand. https://t.co/ljZImMnFoC

[Vaibhav Anand @vaifin]

3. Total prevention spending may decline as predictions improve (Snowville question), especially for actions with rapidly diminishing marginal benefits. e.g., total spending on road salting may decline, whereas spending on flood barriers or power-grid protection may increase.

[Vaibhav Anand @vaifin]

How do improvements in predictions affect our investment in loss prevention?

Glad to share my article in @INFORMS Decision Analysis that examines this question.

Open-access SSRN link: https://t.co/5Dvpkc5atZ
Journal link: https://t.co/KDJlNPRnPH

[Vaibhav Anand @vaifin]

2. Individual risk preferences matter less as forecasts improve. (Communities that respond differently to pandemic forecasts under uncertainty may converge toward similar actions as forecasts become more accurate.)

[Vaibhav Anand @vaifin]

This is the way!

[MIT Stone Center on Inequality & Shaping Work @MITshapingwork]

What is the definition of "pro-worker AI"? Co-director @DAcemogluMIT explains: pro-worker AI creates new, complementary tasks for workers to do, rather than purely automating tasks.

[Arpit Gupta @arpitrage]

🎉Excited to see our paper "Work from Home and the Office Real Estate Apocalypse" with @VrindaMittal2 and @SVNieuwerburgh out in the AER! A few thoughts on where we are now:
https://t.co/t7qckYwOU8

[Ethan Mollick @emollick]

Canaries in the coal mine. Worth paying attention to.

(And yes, they are both obviously interested in seeing their own products used, but hearing enough from other, independent coders that make me believe them. I wrote more about the shift here: https://t.co/ofbCp3fzG9)

[Vaibhav Anand @vaifin]

Looking forward to presenting our work on U.S. #weather #forecasts at @Aereorg’s #OSWEET virtual seminar tomorrow Dec 12
Register to join and/or submit your paper: https://t.co/xVHZmNOOj2

[Vaibhav Anand @vaifin]

Our analysis shows that while insurers typically manage catastrophe exposure through diversification, highly vulnerable insurers rely heavily on reinsurance. 7/7 #insurance #reinsurance #naturaldisasters #catrisk

[Vaibhav Anand @vaifin]

Catastrophes cause significant losses to insurers. But how well do we measure their vulnerability? Our paper proposes a new metric to assess U.S. property-liability insurers' exposure to disaster risk. https://t.co/yCRwxxLAqh
1/7

[Vaibhav Anand @vaifin]

Top quintile vulnerable insurers’ portfolio extends beyond FL, TX, and CA; the “big three” states account for only about half the portfolio, leaving a meaningful, often overlooked, share across Eastern and Southeastern states. 6/7

[New SocArXiv Papers @socarxivpapers]

#SocArXiv: Measuring Insurer Vulnerability to Catastrophe Risk https://t.co/fYaA7tv3tg

[Vaibhav Anand @vaifin]

@Wesley_A_Miller @eunjeeecon Interesting. It would be nice to check if the proximity to elections also affect "preventive" spending based on hurricane forecasts.

[Vaibhav Anand @vaifin]

Interesting and a bit counterintuitive; had to read the abstract twice.

Apparently disasters can raise long-run local income… mostly because government aid for hurricanes/tornadoes + insurance payouts are huge

[AERE @AereOrg]

📢 Out now in the 🍁November 2025 issue🍁of #JAERE! 📢
"The Local Economic Impact of Natural Disasters" by Brigitte Roth Tran (@rothtran) and Daniel J. Wilson (@wilson_daniel_j).
Read it here: https://t.co/dMSatCoY64