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Abstract

This dissertation advances the state of knowledge in economics on pollution sensors and adaptation to pollution risks. In these four essays, I employ field experimental, quasi-experimental, and spatial methods to explore natural empirical relationships linking exposure information to pollution-related behaviors and beliefs. I focus on the recent widespread private adoption of pollution sensors, addressing key economic questions regarding the public and private benefits of stationary and wearable sensor technologies in comparison to conventional government monitoring systems. Through my analyses, I uncover critical insights into the effectiveness, limitations, and potential for scaling these technologies. My results highlight key considerations for improving sensor deployment and pollution information programs.