CEEPR Working Paper
2026-02

Kimberly A. Clausing, Christopher R. Knittel, and Catherine Wolfram

Climate change is no longer a distant threat—it is already imposing substantial and uneven costs on U.S. households. A new study seeks to quantify these costs across multiple channels, including household budgets, mortality, and public spending. While the authors examine only a subset of climate-related impacts, the evidence suggests that recent climate change now imposes an average cost between $400 and $900 per household annually depending on attribution assumptions, with the hardest-hit counties exceeding $1,300 per household. These burdens are highly uneven, falling disproportionately on low-income households and regions exposed to extreme weather and wildfire smoke.

Extreme Weather as the Dominant Cost Driver

A central finding of the paper is that extreme weather events—not incremental warming—account for most household burdens today. Over the past three decades, the United States has experienced rising frequencies of billion-dollar disasters, from hurricanes and floods to wildfires and severe storms. These events create financial pressures through higher insurance premiums, infrastructure disruptions, and utility price increases, while also imposing significant threats to life.

Although heat exposure has increased across most U.S. counties, its net effect on mortality remains small. In many regions, declines in cold-related mortality have roughly offset increases in heat-related mortality. By contrast, wildfire smoke and extreme weather events have created sharp increases in mortality and financial damages, and these trends have accelerated over the past decade.

Insurance Markets: A Growing Financial Strain

Household insurance premiums have risen rapidly, particularly in disaster-prone regions. Drawing on mortgage escrow data from Keys and Mulder (2024), the authors estimate that climate-driven increases in hazard risk have raised homeowners’ insurance costs by an average of $73 per year under more conservative assumptions and up to $356 per year under less conservative attributions to climate change. These increases are notably higher in the South, Gulf Coast, and wildfire-prone West.

These estimates exclude major perils—such as flooding and storm surge—that are not covered by standard homeowners’ policies. Supplementing with First Street Foundation data, the authors find additional flood- and wind-related losses that households implicitly bear through either insurance gaps or taxpayer-funded programs. When indirect commercial pass-through is included, insurance-related costs rise by another $32–$145 per household.

The distributional pattern is stark: losses are relatively flat in dollar terms across income groups but sharply regressive when viewed at its share of households’ income.

Energy Expenditures: Modest Physical Use Impacts, Large Price Effects

Climate change affects household energy spending in two ways:

1.) Changes in the quantity of energy used (driven by shifts in heating and cooling needs).

2.) Changes in the price of energy (driven by disaster-related infrastructure costs).

Using machine-learning models applied to RECS microdata, the authors estimate that warming since 1990 has increased cooling expenditures by $25–$33 per household, while reducing winter heating bills from natural gas, propane, and kerosene, resulting in a net but modest increase in energy consumption of about $11 per household. The more significant effect comes from utility rate increases.

Disaster recovery, wildfire mitigation, and storm hardening have placed new financial burdens on electric utilities, which are increasingly passed on to ratepayers. Based on electricity price models using NOAA disaster data, households now pay an additional $30 per year on average for electricity due to climate-related infrastructure costs—with some regions, such as the South and West, experiencing increases above $150–$200 per year.

These energy cost increases are also regressive: low-income households devote a larger share of their income to energy and have fewer adaptation options.

Public Expenditures and Taxpayer Costs

Governments also bear significant costs from climate-related disasters which the authors measure through the disaster relief outlays dedicated towards infrastructure repair, social insurance programs, and ad hoc emergency assistance to affected households and firms. By aggregating FEMA, HUD, state, and local expenditures from 2017-2021 and delineating allocations for storm- and wildfire-related disasters, the authors find that the between $41 and $77 of the taxes paid by the average American household go towards these relief efforts. Since these disbursements are ultimately funded by taxpayers, the greater frequency of catastrophic events may induce greater tax burdens which themselves vary greatly across states.

Mortality Impacts: Wildfire Smoke Dominates

The mortality effects of climate change differ sharply across geography. While heat-related mortality has changed only modestly (though higher among Black Americans and low-income individuals), wildfire smoke has emerged as a major and rapidly growing health threat.

Using updated particulate-matter exposure data from Childs et al. (2022) and quasi-experimental mortality estimates by Deryugina et al. (2019), the authors find that wildfire smoke contributed to over 35,000 deaths in 2024, with an average annual household mortality cost of $100 attributed to climate change. These mortality outcomes are concentrated in Western states and disproportionately harm lower-income counties highlighting regressivity in particulate matter impacts.

These estimates include only mortality. Because emergency department visits, hospitalizations, medication use, and lost workdays are excluded, the true health cost is significantly higher.

Conclusion: Climate Change Is Already Costly— and Unequally So

Across insurance markets, energy bills, public infrastructure, and health outcomes, the authors find that the costs of recent climate change are substantial, growing, and regressive. The most consequential impacts today come not from incremental warming but from extreme weather events and wildfire smoke, which disproportionately affect vulnerable households and regions.

Even under conservative assumptions, the analysis suggests that climate inaction already costs U.S. households tens of billions of dollars each year. As extreme weather intensifies in coming decades, these burdens are likely to increase dramatically unless mitigation, adaptation, and resilience measures keep pace.

 

(a) More Conservative Estimate (winsorized at 95%)

 

(a) Less Conservative Estimate (winsorized at 95%)

Figure 1. Aggregate costs per household by county.

 

Link to the full working paper:

MIT CEEPR Working Paper 2026-02

About The Authors

Kimberly Clausing holds the Eric M. Zolt Chair in Tax Law and Policy at the University of California Los Angeles (UCLA) School of Law, and she is a nonresident senior fellow at the Peterson Institute for International Economics. During the first part of the Biden Administration, Clausing was the Deputy Assistant Secretary for Tax Analysis in the US Department of the Treasury, serving as the lead economist in the Office of Tax Policy. Her research examines how government decisions and corporate behavior interplay in the global economy. She has published numerous articles on taxation, climate policy, and international trade, and she is the author of Open: The Progressive Case for Free Trade, Immigration, and Global Capital (Harvard University Press, 2019). Professor Clausing received her Ph.D. in economics from Harvard University in 1996.

Christopher Knittel is the Associate Dean for Climate and Sustainability and the George P. Shultz Professor of Energy Economics in the Sloan School of Management at MIT. He directs the MIT Center for Energy and Environmental Policy Research and the MIT Climate Policy Center. Knittel’s research studies consumer and firm decision-making and what this means for the benefits and costs of environmental and energy policy. His current work involves studying how the costs of climate change policy vary across households and firms and how this differs across policy choices. Knittel uses a variety of empirical methods for his research, including large-scale randomized control trials and machine learning techniques. Professor Knittel received his B.A. in economics and political science from the California State University, Stanislaus in 1994 (summa cum laude), an M.A. in economics from UC Davis in 1996, and a Ph.D. in economics from UC Berkeley in 1999.

Catherine Wolfram is the William Barton Rogers Professor in Energy and a Professor of Applied Economics at the MIT Sloan School of Management. She previously served as the Cora Jane Flood Professor of Business Administration at the Haas School of Business at UC Berkeley. From March 2021 to October 2022, she served as the Deputy Assistant Secretary for Climate and Energy Economics at the U.S. Treasury, while on leave from UC Berkeley. Wolfram has published extensively on the economics of energy markets. She is currently working on several projects at the intersection of climate, energy, and trade, including work on the impact of the EU carbon border adjustment mechanism (CBAM) on Mozambique, policy spillovers from the EU CBAM, border adjustments for methane emissions from the oil and gas sector, and the price cap on Russian oil. She received a Ph.D. in Economics from MIT in 1996 and an A.B. from Harvard in 1989.