We are delighted that our paper is now published in @RevEconStudies! A 🧵 #EconTwitter #EUETS #CarbonMarkets.

RT @vox_dev: 🆕 Do carbon offsets work? Evidence from the world’s largest offset programme. Today on VoxDev, Raphael Calel (@McCourtSchool),….

RT @voxeu: Income, wealth, and environmental #inequality in the US.@JonathanColmer @UVAEcon, Suvy Qin @berkeleyecon, John Voorheis @uscensu….

RT @MarshallBBurke: A reminder that moderate and extreme cold are responsible for a surprising number of excess deaths in the US- probably….

RT @jayshimshack: @JonathanColmer and I are hiring up to 2 pre-docs to work with us and the @en_equality_lab team on environmental inequali….

RT @en_equality_lab: We're Hiring! Come and work with us on our research and public facing work to better understand the extent, causes, an….

Previous RAs have gone onto graduate programs at Columbia, Berkeley, and positions at the U.S. Census Bureau (you don't have to end up doing a PhD, a pre doc is a great way to find out if it's something you really want to do!).

You'll be joining a growing team of other pre docs and RAs and other env econ researchers (@andrewjswilson, currently at Stanford, and Jenna Anders, currently at Berkeley, are joining UVA too!) Heavy focus on mentoring and training. V competitive salary & lower cost of living.

The Environmental Inequality Lab is hiring 2 new pre-docs to join our team! We do research in environmental economics but those with interests in labor/public/urban/spatial/development economics should def apply. Apply here: @econ_ra @predoc_org @AereOrg.

RT @cblatts: @HarrisPolicy is searching for development economists at the Associate and Full level. We are open to untenured faculty ready….

Lipsey and Lancaster (1956) strikes again!.

RT @florianederer: OPEC’s market power reduced emissions by over 67 GtCO2, equating to $4,073 billion in climate damages and 17.8% of the c….

The population characteristics of those exposed to excessive rainfall and tropical storm-force winds were similar to the population that was forecasted to be exposed.

Approximately 8.9 million people received more than 5 inches of rainfall within 24 hours, an amount high enough to trigger flash flooding. The affected population had a higher proportion of older, Hispanic, and low-income individuals, compared to national averages.

Approximately 21.5 million people experienced tropical storm-force winds. The affected population had a higher proportion of older, Hispanic, non-Hispanic Black, and low-income individuals compared to national averages.

The population exposed to hurricane-force winds included a larger share of Hispanic, non-Hispanic Black, under-18, and low-income individuals than the population that was forecasted to be exposed with a high probability.

Approximately 3.6 million people were exposed to hurricane-force winds. The affected population had a higher proportion of older, Hispanic, and low-income individuals compared to national averages.

We have now finalized our post-landfall report for Hurricane Milton (took us longer than expected, but we'll be quicker next time). Identifying who is exposed is crucial to developing targeted, efficient, and equitable responses.

RT @CEP_LSE: Designing carbon markets that deliver change. @mirabellemuuls @JonathanColmer Ralf Martin Ulrich Wagner @ImperialBiz. In Cent….

Many questions remain! For example, it is possible, likely even, that income could affect env' quality in ways not captured in this study. e.g. aggregate increases in income for a community could affect env' quality through collective action. Someone should look into that.

Taking the implied elasticity from this exercise, we recalculate that harmonizing the Black-White income gap would be associated with a 7% reduction in the Black-White pollution gap. Very similar to what was implied by the descriptive facts.