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Econometric analysis reveals distinct short- and long-run climate effects on local air pollution, indicating that direct adaptation measurement avoids omitted variable bias.
We develop a unifying approach to estimating climate impacts and adaptation, and apply it to study the impact of climate change on local air pollution. Economic agents are usually constrained when responding to daily weather shocks, but may adjust to long-run climatic changes. By simultaneously exploiting variation in weather and climate, we identify both the short- and long-run impacts on economic outcomes, and measure adaptation directly as the difference between those responses. As a result, we identify adaptation without making extrapolations of weather responses over time or space, and overcome omitted variable bias concerns from prior approaches.
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Bento et al. (2023) studied this question.
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