Energy and Environment

"The pandemic is the biggest shock to American working life since the shift to military production during WWII," writes SIEPR's Nick Bloom for The Los Angeles Times.

As the issue of climate change becomes more pressing and the lack of real political progress grows more apparent, research by SIEPR's Susan Athey is paving the way for change.

A recent Reuters poll of climate economists shows that hitting the Paris Agreement goal of net-zero carbon emissions will require sizable investments in a green transition.

Research by SIEPR's Susan Athey and Nicholas Bloom is cited in "The Economist": Has the pandemic has given economists a new lease of life?

Emerging research by SIEPR's Marshall Burke unveils a broad threat to human health posed by wildfires and toxic smoke: “There's no magic threshold under which we're OK." [...]

As the debate about California-to-Texas migration pits low-cost, anti-regulation Texas against higher-income, socially liberal California, San Francisco Chronicle cites [...]

“All evidence suggests a business as usual scenario where we don’t rapidly scale up our efforts to get fuels out of the forest, we’re going to see a lot more extreme wildfire[...]"

As unrest puts some of the world's most vulnerable to the test, Marshall Burke discusses how #climatechange acts as “a finger on the scale that makes underlying conflict worse.”

Knowledge on the impact of climate change on our lives is growing each day. SIEPR's Charles Kolstad discusses the variables entering estimates of climate damage [...]

2021's record-setting summer of heatwaves, drought, wildfires, floods and hurricanes is forcing many to confront the realities of clime change [...]

Lawrence Goulder addresses environmental justice concerns and makes the that "a carbon tax is inherently progressive, narrowing the income gap between rich and poor households."

SIEPR Senior Fellow Frank Wolak contends there are ways for Texas to improve its power system without abandoning its underlying market structure.

Daniel Ho and his colleagues at Stanford's RegLab show how the use of machine learning could benefit a U.S. EPA initiative to reduce violations of the Clean Water Act.