This paper combines panel data on monthly mortality rates of US states and daily temperature variables for over a century (1900-2004) to explore the regional evolution of the temperature-mortality relationship and documents two key findings. First, the impact of extreme heat on mortality is notably smaller in states that more frequently experience extreme heat. Second, the difference in the heat-mortality relationship between hot and cold states declined over 1900-2004, though it persisted through 2004. Continuing differences in the mortality consequences of hot days suggests that health motivated adaptation to climate change may be slow and costly around the world.

This paper uses computable general equilibrium models to demonstrate that partial-equilibrium welfare measures can offer reasonable approximations of the true welfare changes for large exogenous changes. With consistency in the size and direction of the indirect price effects associated with large shocks, single-sector partial-equilibrium measures will exhibit small errors. Otherwise the errors can be substantial and difficult to sign.

Banks adjust loan spreads after observing natural disasters linked to climate change. We isolate this updating process by identifying loans to borrowers at risk of, but not directly affected by, such disasters. Loan spreads for these borrowers spike in both primary and secondary markets, while no such updating occurs for non–climate‐related disasters. Evidence suggests a heightened perceived credit risk, which nonetheless cannot fully explain the increase in rates. Taken altogether, increased spreads are explained primarily by salience bias, as they are short‐lived and amplified by media attention. This salience impacts financial decisions at bank‐dependent firms.

Recent studies consistently find important economic effects of year-to-year weather fluctuations. I study the economic effects of long-term and gradual climate change over 250 years in the Little Ice Age (1600–1850), during which people and economies had time to adapt. Results show significant negative economic effects of long-term climate change. Temperature impacted the economy through its effect on agricultural productivity and mortality. To adapt to the Little Ice Age, economies increased trade and changed land use. I discuss the relevance of these results for understanding the impact of today’s climate change, especially in developing countries.

This paper develops a method for forecasting the marginal abatement cost (MAC) of climate policy using three features of the failed Waxman-Markey bill. First, the MAC is revealed by the price of traded permits. Second, the permit price is estimated using a regression discontinuity design (RDD) comparing stock returns of firms on either side of the policy's free permit cutoff rule. Third, because Waxman-Markey was never implemented, I extend the RDD approach to incorporate prediction market prices which normalize estimates by policy realization probabilities. A final bounding analysis recovers a MAC range of $5 to $19 per ton CO 2 e.

This paper measures the economic impact of climate change on US agricultural land by estimating the effect of random year-to-year variation in temperature and precipitation on agricultural profits. The preferred estimates indicate that climate change will increase annual profits by $1.3 billion in 2002 dollars (2002$) or 4 percent. This estimate is robust to numerous specification checks and relatively precise, so large negative or positive effects are unlikely. We also find the hedonic approach—which is the standard in the previous literature—to be unreliable because it produces estimates that are extremely sensitive to seemingly minor choices about control variables, sample, and weighting.

The Earth system may react in a nonlinear threshold response to climate forcings. Incorporating threshold responses into integrated assessment models (IAMs) used for climate policy analysis poses nontrivial challenges, for example due to methodological limitations and pervasive deep uncertainties. Here we explore a specific threshold response, a potential disintegration of the West Antarctic Ice Sheet (WAIS). We review the current scientific understanding of WAIS, identify methodological and conceptual issues, and demonstrate avenues to address some of them through a stochastic hazard IAM framework combining emulation, expert knowledge, and learning. We conclude with a discussion of challenges and research needs.