Evidence map›Paper›PMID 38502689›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Policies, projections, and the social cost of carbon: Results from the DICE-2023 model.

Lint Barrage, William Nordhaus

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
125.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 116 citations in OpenAlex.

  1. Trends and biases in the social cost of carbon.Annals of the New York Academy of Sciences · 2025
    Pooled it
  2. Valuing wildfire smoke-related mortality benefits from climate mitigation.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Within-country inequality and the shaping of a just global climate policy.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
  6. Policies, projections, and the social cost of carbon: Results from the DICE-2023 model.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 2 countries.

Lint BarrageDepartment of Management, Technology, and Economics, ETH Zurich, Zurich 8092, Switzerland.
William NordhausDepartment of Economics, Yale University, New Haven, CT 06520.
ETH Zurich · CHNational Bureau of Economic Research · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study examines the assumptions, modeling structure, and results of DICE-2023, the revised Dynamic Integrated Model of Climate and the Economy (DICE), updated to 2023. The revision contains major changes in the treatment of risk, the carbon and climate modules, the treatment of nonindustrial greenhouse gases, discount rates, as well as updates on all the major components. Noteworthy changes are a significant reduction in the target for the optimal (cost-beneficial) temperature path, a lower cost of reaching the 2 °C target, an analysis of the impact of the Paris Accord, and a major increase in the estimated social cost of carbon.

Indexed as

DICE modeleconomics of climate changeintegrated assessmentsocial cost of carbon

Identifiers

PMID38502689
PMCPMC10990119
OpenAlexW4392946598

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.