Tamma Carleton’s research while affiliated with The National Bureau of Economic Research and other places

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Publications (34)


The Climate Adaptation Feedback
  • Article

January 2025

SSRN Electronic Journal

Alexander Abajian

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Tamma Carleton

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Kyle Meng

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Olivier Deschenes


Health losses attributable to anthropogenic climate change
  • Preprint
  • File available

August 2024

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120 Reads

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1 Citation

Despite widespread consensus that climate change poses a serious threat to global public health, very few studies have isolated the specific contributions of human-caused climate change to changes in morbidity and mortality. Here, we systematically review over 3,600 abstracts, and identify a dozen end-to-end impact attribution studies on human health outcomes published between 2016 and 2023. Based on these studies, we find that estimates of attributable mortality range from 10 to over 271,000 deaths, depending on timescale, spatial extent, climate hazard, and cause of death. We calculate that this loss of life amounts to up to US$ trillions in monetary value when using standard valuation approaches. So far, end-to-end attribution studies capture only a small fraction of the presumed global burden of climate change, with few studies addressing infectious and non-communicable diseases, and no subnational or event-specific studies focused on a location outside of Europe and the United States. However, the field of health impact attribution is poised to explode in the next decade, putting unprecedented pressure on policymakers to take action for human health.

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Is the World Running Out of Fresh Water?

May 2024

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2 Reads

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3 Citations

AEA Papers and Proceedings

The quantity of water within Earth and its atmosphere is fixed over time, but water available for human consumption evolves dynamically. We use globally comprehensive geospatial data to establish stylized facts about recent changes in global water resources and potential implications for human welfare. We show that the net change in water volume on arable lands—which account for 90 percent of human water consumption—is almost exactly zero. Rapid water loss is concentrated in regions with large populations, low existing water resources, and low agronomic potential. Incorporating trade data shows that water-scarce regions are net importers of water-intensive goods.


Estimates of annual agricultural evapotranspiration (ET) over active agricultural lands in California’s Central Valley
a Total ET is remotely sensed and is retrieved from OpenET. b Naturally-occurring ET is an estimate of the ET that would be present if the agricultural lands were fallow, and is predicted using machine learning. c Agricultural ET is the difference between total and naturally-occurring ET, and represents our estimate of the ET caused by agriculture, and therefore the water that would be conserved if the land were fallow instead of cropped. The variations in agricultural ET across the landscape suggest that different fields can have vastly different abilities to conserve water. OpenET provides ET data at the scale of 30 m; all figure panels here show ET resampled to 70 m resolution for computational efficiency and to better match average field size.
Variations in annual agricultural evapotranspiration (ET) across and within crop groups
Mean agricultural ET by crop group (blue fill and 95% CI) is the average difference between total ET (black outline) and naturally-occurring ET (cream fill). All measures are summed across the year, leading to naturally-occurring and total ET estimates that include water consumption occurring outside of the growing season. While we find significant differences in mean agricultural ET across crop groups, the gray box plots also show a broad spread in agricultural ET within crop groups (box plots show 0.5, 0.25. 0.5, 0.75, and 0.95 quantiles).
The percent reduction in agricultural evapotranspiration (ET) driven by various management scenarios
a Savings accrued by substituting high-ET crops for the median water-consuming crop in a sub-basin. b Water savings without changing land cover by reducing agricultural ET of high consumers to the median, crop- and sub-basin-specific, consumption level. c Water savings from fallowing the 5% of lands with the highest estimated agricultural ET.
Irrigation efficiency across the counties of the Central Valley
a Irrigation efficiency is calculated by dividing agricultural evapotranspiration (ET) (gridded data) by USGS county-level reports of irrigation amounts (blue polygons). For the calculation, agricultural ET is averaged to the county level to match the spatial scale of the irrigation data. Additionally, irrigation is displayed in volumetric units (teragrams), but is divided by county-level cropland area to be in units consistent with agricultural ET prior to the calculation. We note that these irrigation amounts are counted at the point of use, rather than the water’s point of origin. b The resulting county-level irrigation efficiency estimates vary widely across the Central Valley, with particularly low efficiencies in the northern counties.
Field-scale crop water consumption estimates reveal potential water savings in California agriculture

March 2024

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171 Reads

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12 Citations

Efficiently managing agricultural irrigation is vital for food security today and into the future under climate change. Yet, evaluating agriculture’s hydrological impacts and strategies to reduce them remains challenging due to a lack of field-scale data on crop water consumption. Here, we develop a method to fill this gap using remote sensing and machine learning, and leverage it to assess water saving strategies in California’s Central Valley. We find that switching to lower water intensity crops can reduce consumption by up to 93%, but this requires adopting uncommon crop types. Northern counties have substantially lower irrigation efficiencies than southern counties, suggesting another potential source of water savings. Other practices that do not alter land cover can save up to 11% of water consumption. These results reveal diverse approaches for achieving sustainable water use, emphasizing the potential of sub-field scale crop water consumption maps to guide water management in California and beyond.


Suicide data from the Chinese Center for Disease Control and Prevention Disease Surveillance Point (DSP) system
a, Population-weighted average weekly suicide rate per 1 million population for males (black) and females (green) across weeks of the sample (‘w1’ indicates the first week of the year). Spring months (April, May, and June) are shaded in grey each year. b, Map of the 597 nationally representative counties for which suicide data are available through the DSP system. Basemap in b for 2015 from the Chinese Resource and Environmental Science Data Registration and Publishing System (https://www.resdc.cn/?aspxerrorpath=/DOI,2023.DOI:10.12078/2023010101).
Air pollution and suicide rates in China have declined substantially in recent years
a, Time series of annual average suicide rates globally (n = 183 countries), for the OECD (n = 26 countries), for low- and middle-income countries (n = 129 countries) and for China (n = 1 country). Unweighted averages are shown using annual country-level data from ref. ¹. b, County-specific trends in PM2.5 over the period 2013 to 2017 are mapped across 2,785 counties, measured in μg m⁻³ yr⁻¹. Prefectures are outlined in light grey and provinces in dark grey. Solid grey regions indicate insufficient air pollution monitor data. c, Time series of average weekly suicide rates and PM2.5 across Chinese counties (‘w1’ indicates the first week of each year). Suicide averages are population weighted across 597 nationally representative counties, and PM2.5 averages are population weighted across the 2,785 counties shown in b. Linear trend estimates are shown for each variable, with 95% confidence intervals shaded. Basemap in b for 2015 from the Chinese Resource and Environmental Science Data Registration and Publishing System (https://www.resdc.cn/?aspxerrorpath=/DOI,2023.DOI:10.12078/2023010101).
Estimated effects of air pollution on suicide rates in China
a, Estimated relationship between PM2.5 and thermal inversions using three definitions of thermal inversion. b, Estimated effect of a 1 μg m⁻³ increase in PM2.5 on the suicide rate per 1 million individuals. The top row shows a correlational relationship between suicide rates and PM2.5, estimated using a two-way fixed-effects model following Supplementary Equation 1. The main specification in the second row uses thermal inversions to the instrument for PM2.5 via equations (1) and (2). Other estimates below show the robustness of the instrumental variable approach to the alternative: semiparametric spatio-temporal controls (rows 3–6), weather controls (rows 7–9), clustering of standard errors (rows 10–12) and definitions of thermal inversions (rows 13 and 14). c, Heterogeneity in the effect of PM2.5 on the suicide rate. The point estimate and associated confidence intervals for the main specification are shown in grey. All other estimates use subsamples of the data, splitting by age and sex (orange), season of the year (yellow), county-level urban and rural designation (green), wealthiest 15 provinces and all others (light blue), terciles of sample average PM2.5 (blue) and terciles of average suicide rate (navy). d, Dynamic effect of thermal inversions on the suicide rate (Supplementary Equation 4). The cumulative effect represents the total effect of inversions on suicide rates over 8 weeks; individual lagged effects indicate the effect of contemporaneous (lag zero) thermal inversions and those up to 8 weeks previously (see Supplementary Note 1.2.3 for details). In a–d, central estimates shown with circles are regression point estimates, dark-coloured lines indicate 90% confidence intervals and light-coloured lines indicate 95% confidence intervals. All regressions are estimated using a sample of n = 139,196 county-by-week observations, unless otherwise noted.
Prevented suicides attributable to recent pollution declines
a, Estimates of suicides prevented by observed declines in PM2.5 between 2013 and 2017 for 2,500 counties. Prefectures are outlined in light grey and provinces in dark grey. Solid grey regions indicate areas with no available population and/or PM2.5 data. b, Rank order plot of suicides caused or prevented by changes in PM2.5 between 2013 and 2017 for the 2,500 counties. The ten most populous counties are indicated with a diamond symbol. c, Proportion of 2013–2017 suicide trends in four key regions that are attributable to the APPC-AP, as identified by ref. ⁵⁶. Tan bars indicate declines attributable to targets set by the APPC-AP, while green bars indicate declines attributable to realized PM2.5 levels. In the Pearl River Delta, suicide rates increased from 2013 to 2017, but declines in PM2.5 slowed the rate of increase, leading to negative values shown. Basemap in a for 2015 from the Chinese Resource and Environmental Science Data Registration and Publishing System (https://www.resdc.cn/?aspxerrorpath=/DOI,2023.DOI:10.12078/2023010101).
Estimating the role of air quality improvements in the decline of suicide rates in China

February 2024

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684 Reads

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7 Citations

Nature Sustainability

Emerging evidence suggests that air pollution may play a role in shaping suicide risk by altering brain function. However, this link is difficult to quantify and has yet to be investigated in China, where 16% of global suicides occur. Here we apply a statistical model that leverages random increases in particulate pollution (PM2.5) due to meteorological conditions to comprehensive data on suicide rates across Chinese counties. We find that a 1 s.d. (σ) increase in PM2.5 raises weekly suicide rates by ∼25%. This effect occurs without delay, consistent with neurobiological evidence that PM2.5 influences emotional regulation and impulsive–aggressive behaviour. Effects are sex and age specific; women over 65 exhibit significantly higher vulnerability. We estimate that PM2.5 reductions under China’s Air Pollution Action Plan prevented 13,000–79,000 (95% confidence interval) suicides over 2013–2017, accounting for ∼10% of this period’s observed suicide rate decline. Our findings uncover a causal link between particulate pollution and suicide, adding urgency to calls for pollution control policies across the globe.


Designing and describing climate change impact attribution studies: a guide to common approaches

January 2024

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73 Reads

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2 Citations

Impact attribution is an emerging transdisciplinary sub-discipline of detection and attribution, focused on the social, economic, and ecological impacts of climate change. Here, we provide an overview of common end-to-end frameworks in impact attribution, focusing on examples relating to the human health impacts of climate change. We propose a typology of study designs based on whether researchers choose to focus on long-term trends or specific events; whether they compare climate scenarios by estimating impact probabilities, or only focus on the difference in impact distributions; and whether they choose to split climate change attribution and impact estimation into separate analytical steps (and often, separate studies). We map four common study designs onto this typology, and discuss their relative strengths in terms of both inferential rigor and science communication potential. We conclude by discussing a handful of related and emerging approaches, and discuss how methodological innovations in impact attribution are continuing to advance our understanding of the climate crisis.





Citations (24)


... In the case of manufacturing, extreme heat hurts value added growth in summers. This is consistent with recent literature showing that extremely hot temperature leads to more worker absenteeism 23 and lower worker productivity in the manufacturing sector (see Rode et al. 2023). Conversely, extremely hot summer helps value-added growth in services, probably in activities that alleviate heat stress (such as indoor services or beach going). ...

Reference:

Rising Temperature, Nuanced Effects: Evidence from Seasonal and Sectoral Data
Is Workplace Temperature a Valuable Job Amenity? Implications for Climate Change
  • Citing Article
  • January 2024

SSRN Electronic Journal

... 7 Despite the widespread use of CDL data in agriculture-climate research, CDL data has inherent errors that could potentially lead to uncertainty in land-use change calculations (Reitsma et al. 2016;Laingen 2015). Although there are limitations, the CDL data is still the primary source of land use information at the micro-level and is frequently used in the literature to influence land use policies (e.g., Boser et al. 2024;Ramsey et al. 2021;Jiang et al. 2021). We are cautious in the use of CDL data in our study region and take the following steps to minimize any potential errors that may arise from using CDL data. ...

Field-scale crop water consumption estimates reveal potential water savings in California agriculture

... This method leverages a variable known as an "instrument" that does not directly affect farmland NEP but influences human interventions. In certain scenarios, this instrumental variable can be used in a 2SLS regression to isolate the variation in regression variables unrelated to the outcome, thereby improving the unbiased estimation of the variables of interest 80 . When estimating the major human interventions -farmland NEP, we specifically used DEM (Digital Elevation Model) data as an instrumental variable. ...

Estimating the role of air quality improvements in the decline of suicide rates in China

Nature Sustainability

... change on disease risk has been an increase in the global burden of mosquito-borne diseases, which exhibit a well characterized unimodal transmission-temperature relationship [117][118][119] . Climate change is also implicated as a contributing factor in the rapid range expansion of the mosquito vectors of malaria and dengue fever 120,121 and similar effects on ticks are also suspected, but less clearly established 122,123 . ...

The historical fingerprint and future impact of climate change on childhood malaria in Africa

... cloud cover, satellite angle). Proctor et al. [2023] suggest a multiple imputation approach that may be sensitive to functional form specifications. Egami et al. [2023] address an analagous problem in the NLP realm, developing a method similar to Proctor et al. [2023] for using gold-standard labeled data to adjust labels provided by an LLM. ...

Parameter Recovery Using Remotely Sensed Variables
  • Citing Article
  • January 2023

SSRN Electronic Journal

... This approach is thus able to capture often hard-to-model emergent climate risks and inform more tailored approaches to building resilience. robust causal identification based on isolation of system response to the unpredictable component of weather versus more predictable components like cross-sectional averages (23) and longrun trends (8,24). An overarching methodological thrust has thus been toward highly localized estimates based on shocks that are statistically well identified in terms of past exposure but may only capture a small component of projected changes in future climate. ...

Estimating Global Impacts to Agriculture from Climate Change Accounting for Adaptation
  • Citing Article
  • January 2022

SSRN Electronic Journal

... The potential biases and errors in such an approach often do not appear to be sufficiently clarified when used for policy-related work. One way forward involves the use of observational data such as labour force surveys, time use surveys and firm-level data on labour allocation and outputs to estimate sub-national-specific, country-specific or region-specific response functions, and using these to compute projections and reduce uncertainty 5,10,11,20,21,26,30,34,38,150 . Definitions and differentiation between labour capacity and productivity need to be harmonized to improve the estimates and comparability of results. ...

Labor Disutility in a Warmer World: The Impact of Climate Change on the Global Workforce
  • Citing Article
  • January 2022

SSRN Electronic Journal

... However, these studies focus on industrialized countries (as do IAMs) where people's livelihoods are less dependent on the weather. There is now a rich evidence base showing that the burden of global warming is unequally distributed, where the poor are less well-equipped to cope with harmful weather events rendering them more vulnerable to temperature changes [47][48][49]. ...

A Guide to Updating the US Government’s Social Cost of Carbon
  • Citing Article
  • July 2022

Review of Environmental Economics and Policy

... The study context, Uganda, has a tropical climate and experiences moderate temperature variations within a year; however, data from the EM-DAT shows that it experienced 15 floods and five droughts between 1990 and 2010. Moreover, research on other outcomes has shown that data from wealthier countries tend to underestimate climate impacts on poorer regions (Carleton et al., 2022). ...

Valuing the Global Mortality Consequences of Climate Change Accounting for Adaptation Costs and Benefits
  • Citing Article
  • April 2022

Quarterly Journal of Economics

... Heatwave is one of the most common and influential meteorological hazards that can affect human health, agriculture, workplace productivity, wildfire frequency and public infrastructure (Perkins & Lewis, 2020;Rode et al., 2021). Heatwaves have become more frequent and more intense across most lands since the 1950s, including Asia, Europe and Australasia (IPCC, 2021), especially in the 21st century, such as the extreme heatwave events in Europe in 2003(Beniston, 2004Dong et al., 2016;Kew et al., 2019;Schar & Jendritzky, 2004), the severe heatwave event in Australia during 2009 (Pezza et al., 2012), the disastrous heatwave event in Russia in 2010 (Dole et al., 2011;Russo et al., 2014;Trenberth & Fasullo, 2012), the record-breaking hot summer in 2015 over Hawaiian Islands (Zhu & Li, 2017), the extraordinary heatwave event in North America in 2021 (Dong et al., 2023;Qian et al., 2022;Zhang et al., 2023), and the 2022 Extreme Heatwave in Southern China (Gong et al., 2024). ...

Author Correction: Estimating a social cost of carbon for global energy consumption

Nature