Christopher Knittel

The podcast version of our BPEA paper on “Who bears the burden of climate inaction?” (thread below, with @cwolfram.bsky.social and @knittelmit.bsky.social) just dropped .

www.brookings.edu/articles/how...

An MIT CEEPR paper by @knittelmit.bsky.social, @gibmetcalf.bsky.social and @shereeinsaraf.bsky.social looks at the impacts from a Gas-to-VMT Tax Shift. Check out the full paper at the link below:

ceepr.link/42R44sv

🧵 (1/7) With @knittelmit.bsky.social and @cwolfram.bsky.social, happy to announce our new paper on “Who Bears the Burden of Climate Inaction?”, just posted for BPEA @brookings.edu.

We find large climate cost impacts that vary by both geography and income.

www.brookings.edu/articles/who...

Any #Warsaw recommendations? Food and tourism.

My theory is that he views everything through the lens of zero-sum games. He can get away with that with real-estate transactions for the most part.

Then they came after the naturalized citizens' speech,
whose status could still be questioned,
and I did not speak out—
because I was born here.

Then they came after my speech—
and there was no one left to speak for me.

Then they came after the green card holders' speech,
who had nearly all constitutional protections, and I did not speak out—
because I was not a permanent resident.

Then they came after the visa holders' speech,
who had limited protections under the Constitution,
and I did not speak out—
because I was not on a visa.

First they came after the undocumented immigrants' speech,
who had few constitutional protections,
and I did not speak out—
because I was not undocumented.

From my awesome co-author Jen Alix-Garcia: thehill.com/opinion/ener...

Deploying Plug & Charge technology can speed EV adoption - The Salata Institute Leveraging input from stakeholders across the EV ecosystem, a team of Harvard and MIT researchers recommends how to speed deployment of new charging technology to rapidly expand the EV market.

Leveraging input from stakeholders across the EV ecosystem, a team of @harvardsalata.bsky.social and MIT CEEPR researchers recommends how to speed deployment of new charging technology to rapidly expand the EV market.

salatainstitute.harvard.edu/deploying-pl...

The #tradewar is on. Real-time electricity prices doubled few minutes after midnight EST in New England. 🔌💡

Submission: Environment and Energy Economics Program Meeting, Page 1 of 2 - MyNBERNBER: National Bureau of Economic Research

Submit your interesting paper to the Spring @nberpubs.bsky.social EEE meetings. The great
#PaulinaOliva and @stevecicala.bsky.social ky.social
are sure to pick an amazing set of papers.

DEADLINE IS IN 9 DAYS!!

March 27-28, 2025

conference.nber.org/confsubmit/b...

The next four years of U.S. energy President-elect Donald Trump has vowed to repeal key climate and energy legislation enacted under the Biden administration. What should we expect over the next four years and what will this mean for c...

You should listen to this podcast! You can skip the most recent one, but the others are worthwhile! #energysky #econsky #climatesky

energy.mit.edu/podcast/the-...

My amazing post doc, Juan Senga, presenting our work using a revealed preference argument to estimate the non-engineering costs associated with building transmission at the #CEEPR workshop.

Looking forward to our #CEEPR fall workshop in DC. A great lineup of papers and our largest registration ever! 1/3 academics, 1/3 industry, 1/3 policy makers.

ceepr.mit.edu/wp-content/u...

#energysky

Frying a turkey in a log cabin in the middle of a New Hampshire forest? What can go wrong!? At least there isn’t an open flame.

Happy #Thanksgiving everyone!

A quick calculation on #Trump's #tariffs. We import ~$900B from Ca and M. 25% tariff. Assume a 75% pass-through (low?), that's a $1,000 tax on the avg US household. We import $430B from China. 10% tariff => $250/HH.

Here comes a $1,250/year tax on US households?

#TrumpTradeWar

Totally. I’m going to generate one for each of the readings on my syllabus.

Here's the AI generated podcast: notebooklm.google.com/notebook/db4...

US federal resource allocations are inconsistent with concentrations of energy poverty US federal energy poverty assistance program budgets are misallocated and require revision.

Here's one on a recent paper with Scott Batlle, Peter Heller, and Tim Schittekatte in #ScienceAdvances on #EnergyPoverty www.science.org/doi/full/10....

Hey #energysky #econsky #academicsky,

If you haven't tried, try #Google's #NotebookLM podcast feature. Just upload a paper and hit go. I plan to use these for my class. It seems to do a decent job at AI generating the podcast.

My son and I always behave myopically at hotpot. The ride home is always painful.

Don’t call be Shirley….

Implications for Platforms: Simple, evidence-based design tweaks can significantly curb bias without overhauling systems. Also, and totally self-serving, collaboration between platforms and researchers is key to tackling systemic discrimination.

Looking forward to your thoughts!

Broader Impacts: Highlighting quality metrics not only reduced bias but also increased pickups in areas with a higher share of African American residents. This suggests that thoughtful design can enhance equity and access.

Unexpected Insights: Showing names upfront didn’t strongly reduce bias. Possible reasons:

Drivers might not process names pre-acceptance.

Habitual biases tied to name recognition remain strong.

Why the Rating-Font Treatment Worked: We believe (although more work to be done) highlighting passenger quality shifted driver focus away from biased heuristics (e.g., names) and toward objective measures (ratings). Small changes can drive big behavioral shifts.

Second, can minor interventions help?
Increasing the font size of ratings reduced cancellations by 71.7%, effectively eliminating racial bias.
Displaying names upfront? Less effective. While there was a 30% reduction, it wasn’t statistically significant.

Key Findings:
First, we confirm the previous work. In the control group, drivers were more likely to cancel rides when passenger names were associated with African Americans.