We study how firms and labor contracts shape workers' adaptation to climate risk. Using real-time GPS and AI driver-monitoring data on truck drivers, we show that extreme heat …
Artificial intelligence is driving rapid growth in electricity demand through the expansion of data centers. Meeting this demand requires complementary infrastructure investment, …
Instrumental variables are often used to address measurement error in air pollution exposure. This paper shows why that logic can fail when thermal inversion instruments are paired …
We study climate adaptation in a distorted electricity market in one of the world's most heat-exposed cities, Karachi, Pakistan. Poor households respond to extreme heat by …
This paper studies air pollution IV estimates when instruments move several pollutants simultaneously and provides diagnostic tools for interpreting them. We distinguish two …
This paper investigates the potential cost of natural gas expansion when electrification is a long-term goal. I provide empirical evidence that natural gas expansion shifts …