I am an environmental economist at Columbia University's School of International and Public Affairs (SIPA). I am affiliated with CEEP, the Climate School, and the Institute for the Study of Labor (IZA). From 2023 to 2024, I was a Senior Advisor in the Office of Information and Regulatory Affairs (OIRA). I study how forecasts and other types of information affect actions in settings including adaptation to climate change, risk-taking in research, and time use. These days, I am especially fascinated by how people perceive and use weather forecasts—a decades-long information intervention going on every hour of the day, all around the world.

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Matthew Gibson and I have submitted these public comments to the DOE on their recent climate impacts report. The report does a terrible job accurately portraying the climate impacts literature. Our comments focus on three particular areas where the report team failed to cite many relevant studies—mortality, non-fatal health impacts, and market impacts as measured by GDP.

Working on a paper recently, I wanted to cite the original Nordhaus DICE paper. The list below is me trying to sort out the publication history. If you see errors, let me know! (...more)

Running weather regressions and using clustered standard errors? I have a modest proposal to cluster at the National Weather Service (NWS) County Warning Area (CWA) level. (...more)

Temperature exhibits high temporal autocorrelation. Regressing daily, county average temperature in the continental U.S. on its own first lag yields a coefficient of 0.95, a t-stat of 730 (standard errors clustered at the National Weather Service County Warning Area level) and an R^2 of 0.9. Regressing temperature on its own first 7 lags yields the following coefficients. (...more)

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