Agent-based macroeconomics for the UK's Seventh Carbon Budget
Tom Youngman, Tim Lennox, M. Lopes Alves, Pirta Palola, Brendon Tankwa, Emma Bailey, Emilien Ravigne, Thijs Ter Horst, Benjamin Wagenvoort, Harry Lightfoot Brown, Jose Moran, Doyne Farmer

TL;DR
This paper discusses the development of a data-driven macroeconomic agent-based model to assess the impact of the UK's seventh carbon budget on economic factors like growth and inequality, aiming to inform policymaking.
Contribution
It introduces a novel macro-ABM tailored for the UK to evaluate decarbonisation policies and their macroeconomic effects, integrating microdata and technological change projections.
Findings
Initial UK macroeconomic baseline model developed
Preliminary decarbonisation impact modeling conducted
Modeling aligns with Climate Change Committee projections
Abstract
In June 2026, the UK government will set its carbon budget for the period 2038 to 2042, the seventh such carbon budget (CB7) since the Climate Change Act became law in 2008. For the first time, this carbon budget will be accompanied by a macroeconomic assessment of its impact on growth, employment, inflation and inequality. Researchers from the Institute of New Economic Thinking (INET) Oxford are working in partnership with the Department for Energy Security and Net Zero to deliver this assessment using our data-driven macroeconomic agent-based model (ABM). This extended abstract presents the work in progress towards this pioneering policymaking using our data-driven macroeconomic ABM. We are conducting our work in three work packages. By the time of the workshop, we hope to be able to present preliminary findings from the first two work packages. In WP1, we adapt an existing macro-ABM…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComplex Systems and Time Series Analysis · demographic modeling and climate adaptation · Economic and Technological Innovation
