DEMACRO

DEMACRO includes a suite of specialized models designed for macroeconomic impact analysis. These models cover a range of methodologies, including a computable general equilibrium model with Neo Keynesian and behavioural features (Ross et al., 2024a, 2024b), an econometric non-equilibrium model (Ross et al., 2025; Raseta et al., 2024), and a state-of-the-art agent-based (stock-flow consistent) model that has been validated for both forecasting and scenario analysis (Ross, 2026). In addition, DEMACRO incorporates a disequilibrium input-output (IO) model (Raseta et al., 2025). Together, these models provide a comprehensive framework for analyzing various macroeconomic scenarios.

References
Raseta, M., Kleefeld, A., Grajewski, M., Ross, A.G., 2024. Green-Kubo Relations for Networked Economic Systems: An Exact Solution for Quantifying Economic Resilience from Input-Output Susceptibility. https://doi.org/10.2139/ssrn.4936915

Raseta, M., Ross, A.G., Vögele, S., 2025. Macro-level implications of the energy system transition to net-zero carbon emissions: Identifying quick wins amid short-term constraints. Economic Analysis and Policy 85, 1065–1078. https://doi.org/10.1016/j.eap.2025.01.011

Ross, A.G., Connolly, K., Vögele, S., Kuckshinrichs, W., 2024a. A macro-level analysis of the socio-economic impacts of climate change driven water scarcity: Incorporating behavioural and resilience aspects. Water Research X 23, 100223. https://doi.org/10.1016/j.wroa.2024.100223

Ross, A.G., McGregor, P.G., Swales, J.K., 2024b. Labour market dynamics in the era of technological advancements: The system-wide impacts of labour augmenting technological change. Technology in Society 77, 102539. https://doi.org/10.1016/j.techsoc.2024.102539

Ross, A.G., Raseta, M., Grajewski, M., Kleefeld, A., 2025. Resilience and recovery in networked economic systems: An ex-ante analysis of susceptibility to aspects of a potential China–Taiwan conflict. Papers in Regional Science 104, 100094.

Ross, A.G., 2026. Exploring Macroeconomic Effects of Climate and Energy Transitions: An Agent-Based Modelling Perspective. https://doi.org/10.2139/ssrn.6236958