Ambitious climate mitigation policies face social and political resistance. One reason is that
existing policies insufficiently capture the diversity of relevant insights from the social …

We develop the first agent-based model (ABM) that can compete with benchmark VAR and
DSGE models in out-of-sample forecasting of macro variables. Our ABM for a small open …

We employ a new macroeconomic–epidemiological agent-based model to evaluate the
“lives vs livelihoods” trade-off brought to the fore by coronavirus disease (Covid-19). An …

I develop a novel macroeconomic epidemiological agent-based model to study the impact of
the COVID-19 pandemic under varying policy scenarios. Agents differ with regard to their …

We build a novel interregional computational input–output model to assess the economic
impact of lockdowns in Italy. Lockdowns are modeled as shocks to labor supply, calibrated …

Background To avoid the uncontrolled spread of COVID-19 in early 2020, many countries
have implemented strict lockdown measures for several weeks. In Austria, the lockdown in …

In December 2020 the European Council agreed to increase the ambition of the EU 2030
climate target from the previous level of 40% of greenhouse gas emissions reduction by …

The unprecedented lockdown measures implemented by many countries in the wake of the
COVID-19 pandemic have created a need for tools to assess their economic costs. For this …

Travel ban, restriction and health hazards are the results of disruptive shocks in the tourism
industry leading to a significant negative impact on the tourism business. We investigated …

We study the distributional consequences of COVID-19 by using a stock-flow consistent
agent-based model that captures some of the aspects of pandemic-related lockdowns. In …