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Report
Endogenous policy choice: the case of pollution and growth
What determines the relationship between pollution and growth? Are the forces that explain the behavior over time of these quantities potentially useful to understand more generally the relationship between policies and growth? In this paper, we make a first attempt to analyze the equilibrium behavior of two quantities?the level of pollution and the level of income?in a setting in which societies choose, via voting, how much to regulate pollution. Our major finding is that, consistent with the evidence, the relationship between pollution and growth need not be monotone and that the precise ...
Working Paper
Race and Environmental Worries
Conference Paper
Environmental protection: a new trade issue
Working Paper
The Impact of Car Pollution on Infant and Child Health: Evidence from Emissions Cheating
Car exhaust is a major source of air pollution, but little is known about its impacts on population health. We exploit the dispersion of emissions-cheating diesel cars?which secretly polluted up to 150 times as much as gasoline cars?across the United States from 2008-2015 as a natural experiment to measure the health impact of car pollution. Using the universe of vehicle registrations, we demonstrate that a 10 percent cheating-induced increase in car exhaust increases rates of low birth weight and acute asthma attacks among children by 1.9 and 8.0 percent, respectively. These health impacts ...
Journal Article
Dollars in the dirt : the economic value of living trees
Journal Article
Pollution control: two industries
Journal Article
How Do Economists Think about the Environment and Climate Change?
While pollution can create a role for government intervention, issues like free-riding and others make reducing global greenhouse gas emissions difficult.
Journal Article
Asphalt antidote : \\"living\\" roofs absorb runoff
Discussion Paper
Understanding the Racial and Income Gap in COVID-19: Social Distancing, Pollution, and Demographics
This is the third post in a series looking to explain the gap in COVID-19 intensity by race and by income. In the first two posts, we have investigated whether comorbidities, uninsurance, hospital resources, and home and transit crowding help explain the income and minority gaps. Here, we continue our investigation by looking at three additional potential channels: the fraction of elderly people, pollution, and social distancing at the beginning of the pandemic in the county. We aim to understand whether these three factors affect overall COVID-19 intensity, whether the income and racial gaps ...