Climate policies do not operate in isolation but propagate through global production networks, affecting industries beyond national borders. This paper combines international input-output data with a granular instrumental variable approach to capture how foreign regulations transmit through upstream and downstream linkages. Distinguishing between market-based policies, non-market regulations, and technology support, the analysis shows that foreign climate policies can enhance domestic productivity, with effects shaped by industry characteristics and operating through technological adjustment along supply chains. The results underscore the importance of accounting for international spillovers when evaluating the economic impact of environmental regulation.

Zwischenbericht 2025 zur begleitenden Evaluierung des Investitionsgesetzes Kohleregionen (InvKG) und des STARK-Bundesprogramms 

Am 5. November 2025 wurde der Zwischenbericht 2025 zur begleitenden Evaluierung des Investitionsgesetzes Kohleregionen (InvKG) und des STARK‑Bundesprogramms von den Wirtschaftsforschungsinstituten IWH und RWI veröffentlicht. Die Evaluierung, die im Auftrag des Bundesministeriums für Wirtschaft und Energie durchgeführt wird, analysiert die Fortschritte der Programme, identifiziert die Wirkungen der Förderung und gibt konkrete Handlungsempfehlungen, wie die Maßnahmen optimiert werden können, um die Transformation der vom Kohleausstieg betroffenen Regionen in Deutschland erfolgreich zu gestalten.

While the drastic physical impacts of climate change and related natural hazards are increasingly apparent, little is known about the long-term behavioral consequences of climate change-related experiences. Psychological evidence suggests that climate change (CC)-related experiences induce people to make more climate-friendly choices. Building on Upper Echelons Theory and relevant psychological literature, we investigate whether early-life natural hazard experiences of Chief Executive Officers (CEOs) are associated with more climate-friendly policies during their tenure. Our sample covers decisions taken between 1991 and 2018 by 447 US-born CEOs. While we observe an effect of hazard experiences on climate policies, we do not observe the same effect when focusing only on CC-related experiences. This result is robust across different measures of corporate climate performance.

Climate policy design must balance emissions mitigation with concerns for fairness, particularly as climate change disproportionately affects the poorest households within and across countries. Integrated Assessment Models used for global climate policy evaluation have so far typically not considered inequality effects within countries. To fill this gap, we develop a global Integrated Assessment Model representing national economies and subnational income, mitigation cost, and climate damage distribution and assess a range of climate policy schemes with varying levels of effort sharing across countries and households. The schemes are consistent with limiting temperature increases to 2 °C and account for the possibility to use carbon tax revenues to address distributional effects within and between countries. We find that carbon taxation with redistribution improves global welfare and reduces inequality, with the most substantial gains achieved under uniform taxation paired with global per capita transfers. A Loss and Damage mechanism offers significant welfare improvements in vulnerable countries while requiring only a modest share of global carbon revenues in the medium term. The poorest households within all countries may benefit from the transfer scheme, in particular when some redistribution is made at the country level. Our findings underscore the potential for climate policy to advance both environmental and social goals, provided revenue recycling mechanisms are effectively implemented. In particular, they demonstrate the feasibility of a welfare improving global climate policy involving limited international redistribution.

Accurate macroeconomic forecasts are essential for effective policy decisions, yet their precision depends on the accuracy of the underlying assumptions. This paper examines the extent to which assumption errors affect forecast accuracy, introducing the average squared assumption error (ASAE) as a valid instrument to address endogeneity. Using double/debiased machine learning (DML) techniques and partial linear instrumental variable (PLIV) models, we analyze GDP growth forecasts for Germany, conditioning on key exogenous variables such as oil price, exchange rate, and world trade. We find that traditional ordinary least squares (OLS) techniques systematically underestimate the influence of assumption errors, particularly with respect to world trade, while DML effectively mitigates endogeneity, reduces multicollinearity, and captures nonlinearities in the data. However, the effect of oil price assumption errors on GDP forecast errors remains ambiguous. These results underscore the importance of advanced econometric tools to improve the evaluation of macroeconomic forecasts.

The European Commission’s growth forecasts play a crucial role in shaping policies and provide a benchmark for many (national) forecasters. The annual forecasts are built on quarterly estimates, which do not receive much attention and are hardly known. Therefore, this paper provides a comprehensive analysis of multi-period ahead quarterly GDP growth forecasts for the European Union (EU), euro area, and several EU member states with respect to first-release and current-release data. Forecast revisions and forecast errors are analyzed, and the results show that the forecasts are not systematically biased. However, GDP forecasts for several member states tend to be overestimated at short-time horizons. Furthermore, the final forecast revision in the current quarter is generally downward biased for almost all countries. Overall, the differences in mean forecast errors are minor when using real-time data or pseudo-real-time data and these differences do not significantly impact the overall assessment of the forecasts’ quality. Additionally, the forecast performance varies across countries, with smaller countries and Central and Eastern European countries (CEECs) experiencing larger forecast errors. The paper provides evidence that there is still potential for improvement in forecasting techniques both for nowcasts but also forecasts up to eight quarters ahead. In the latter case, the performance of the mean forecast tends to be superior for many countries.

Am 13. Februar 2025 wurde der zweite Zwischenbericht zur begleitenden Evaluierung des Investitionsgesetzes Kohleregionen (InvKG) und des STARK-Bundesprogramms von den Wirtschaftsforschungsinstituten IWH und RWI veröffentlicht. 

Die Evaluierung, die im Auftrag des Bundesministeriums für Wirtschaft und Klimaschutz durchgeführt wird, analysiert die Fortschritte der Programme, identifiziert die Wirkungen der Förderung und gibt konkrete Handlungsempfehlungen, wie die Maßnahmen optimiert werden können, um die Transformation der vom Kohleausstieg betroffenen Regionen in Deutschland erfolgreich zu gestalten.

We study the aggregate, distributional, and welfare effects of fiscal policy responses to Germany’s energy crisis arising in 2022 using a novel ten-agent new Keynesian (TENK) model. The crisis, compounded by the COVID-19 pandemic, led to sharp price increases and significant consumption disparities. Our model, calibrated to Germany’s income and consumption distribution, evaluates key policy interventions. We find that untargeted transfers had the largest short-term aggregate impact, while targeted transfers for lower-income households were most cost-effective. Other instruments yielded comparably limited welfare gains. The results highlight how targeted fiscal measures can address distributional effects and stabilize consumption during crises.

The Transition Report 2024-25 focuses on industrial policies in the EBRD regions and beyond. Such policies have seen a resurgence, seeking to address market failures such as environmental degradation. However, their track record is mixed. Their growing popularity is shaped primarily by domestic political economy considerations and rising geopolitical tensions. While industrial policies are typically employed by higher-income economies, they are also now used more frequently in economies with less administrative and fiscal capacity to implement them.