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Book
Year: 2021 Publisher: National Bureau of Economic Research
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Digital
Year: 2019 Publisher: Cambridge, Mass. National Bureau of Economic Research
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An emerging literature examines how agents update their beliefs about climate change. Most studies have relied on indirect belief measures or opinion polls. We analyze a direct measure: prices of financial products whose payouts are tied to future weather outcomes. We compare these market expectations to climate model output for the years 2002 to 2018 as well as observed weather station data across eight cities in the US. All datasets show statistically significant and comparable warming trends. Nonparametric estimates suggest that trends in weather markets follow climate model predictions and are not based on shorter-term variation in observed weather station data. When money is at stake, agents are accurately anticipating warming trends in line with the scientific consensus of climate models.
Book
Year: 2021 Publisher: Cambridge, Mass. National Bureau of Economic Research
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Post-war growth in agricultural productivity outpaced the US non-farm economy, spurred by steadily increasing crop yields. We argue that rising atmospheric CO₂ is responsible for a significant share of these yield gains. We present a novel methodology to estimate the CO₂ fertilization effect using data from NASA's Orbiting Carbon Observatory-2 (OCO-2) satellite. Our study complements the many field experiments by regressing county yields on local CO₂ levels across the majority of US cropland under actual growing conditions. For identification, we utilize year-to-year anomalies from county-specific trends, an instrument for those CO₂ anomalies using wind patterns, and a spatial first-differences approach. We consistently find a large CO₂ fertilization effect: a 1 ppm increase in CO₂ equates to a 0.4%, 0.6%, 1% yield increase for corn, soybeans, and wheat, respectively. In a thought exercise, we apply the CO₂ fertilization effect we estimated in our sample from 2015-2021 backwards to 1940, and, assuming no other limiting factors, find that CO₂ was the dominant driver of yield growth--with implications for estimates of future climate change damages.
Book
Year: 2019 Publisher: Cambridge, Mass. National Bureau of Economic Research
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An emerging literature examines how agents update their beliefs about climate change. Most studies have relied on indirect belief measures or opinion polls. We analyze a direct measure: prices of financial products whose payouts are tied to future weather outcomes. We compare these market expectations to climate model output for the years 2002 to 2018 as well as observed weather station data across eight cities in the US. All datasets show statistically significant and comparable warming trends. Nonparametric estimates suggest that trends in weather markets follow climate model predictions and are not based on shorter-term variation in observed weather station data. When money is at stake, agents are accurately anticipating warming trends in line with the scientific consensus of climate models.
Book
Year: 1963 Publisher: Bloomington Indiana University Press
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