We show an equivalence result in the standard representative agent New Keynesian model after demand, wage markup and correlated price markup and TFP shocks: assuming sticky prices and flexible wages yields identical allocations for GDP, consumption, labor, inflation and interest rates to the opposite case- flexible prices and sticky wages. This equivalence result arises if the price and wage Phillips curves' slopes are identical and generalizes to any pair of price and wage Phillips curve slopes such that their sum and product are identical. Nevertheless, the cyclical implications for profits and wages are substantially different. We discuss how the equivalence breaks when these factor-distributional implications matter for aggregate allocations, e.g. in New Keynesian models with heterogeneous agents, endogenous firm entry, and non-constant returns to scale in production. Lastly, we point to an econometric identification problem raised by our equivalence result and discuss possible solutions thereof.

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.

This study investigates the impact of inaccurate assumptions on economic forecast precision. We construct a new dataset comprising an unbalanced panel of annual German GDP forecasts from various institutions, taking into account their underlying assumptions. We explicitly control for different forecast horizons to reflect the information available at the time of release. Our analysis reveals that approximately 75% of the variation in squared forecast errors can be attributed to the variation in squared errors of the initial assumptions. This finding emphasizes the importance of accurate assumptions in economic forecasting and suggests that forecasters should transparently disclose their assumptions to enhance the usefulness of their forecasts in shaping effective policy recommendations.

Die deutsche Wirtschaft befindet sich weiterhin in der Krise. Der Beginn des Jahres 2025 ist geprägt von erheblichen innen- aber auch außenpolitischen Veränderungen. In Deutschland ist die wirtschaftspolitische Unsicherheit angesichts des Regierungswechsels hoch. Gleichzeitig belastet die protektionistische Handelspolitik der USA die deutsche Konjunktur. Zudem hat sich mit der neuen Regierung in den USA die Sicherheitslage in Europa verschlechtert. Vor diesem Hintergrund haben Bundestag und Bundesrat die Finanzverfassung Deutschlands grundlegend geändert und weitreichende öffentliche Verschuldungsspielräume geschaffen. 

Die wirtschaftliche Schwäche in Deutschland ist nicht nur konjunktureller, sondern auch struktureller Natur. So sehen sich deutsche Unternehmen einem verstärkten internationalen Wettbewerb vor allem aus China ausgesetzt. Zudem scheint ein Teil der Produktion in der energieintensiven Industrie dauerhaft weggefallen zu sein. Eine schwindende Erwerbsbevölkerung und hoher bürokratischer Aufwand sind weitere strukturelle Schwächen, unter denen die deutsche Wirtschaft leidet. 

Das Bruttoinlandsprodukt dürfte in diesem Jahr mit einem Anstieg um 0,1 % kaum mehr als stagnieren. Damit revidieren die Institute die Prognose vom Herbst 2024 recht deutlich um 0,7 Prozentpunkte nach unten. Insbesondere im Sommerhalbjahr 2025 wird inzwischen die Dynamik aufgrund der US-Zollpolitik schwächer eingeschätzt. Damit verzögert sich die erwartete Erholung. Im weiteren Prognosezeitraum dürfte eine voraussichtlich expansive Finanzpolitik die Konjunktur beleben. Im kommenden Jahr dürfte steigt das Bruttoinlandsprodukt um 1,3 %, wobei 0,3 Prozentpunkte der höheren Zahl an Arbeitstagen zu verdanken sind. Damit ist die Rate gegenüber der Herbstprognose unverändert, das Niveau der Wirtschaftsleistung ist aber 0,8 % niedriger.

Die deutsche Konjunktur hat zum Ende des Jahres 2024 einen weiteren Rückschlag erhalten. Das Bruttoinlandsprodukt (BIP) sank im vierten Quartal 2024 um 0,2%. Es ist damit seit Mitte 2022 auf einem leicht sinkenden Trend (vgl. Abbildung 1). Wenngleich staatliche und private Konsumausgaben zugelegt haben dürften, konnten diese die deutlich gesunkenen Exporte nicht kompensieren. Damit ging auch die Wirtschaftsleistung im Jahr 2024 insgesamt um 0,2% zurück.

In den Unternehmen hat sich die Lage zuletzt anscheinend stabilisiert, die Erwartungen verschlechtern sich jedoch weiter. Die Risiken, die von der US-Wirtschaftspolitik ausgehen, dürften die Investitionsbereitschaft der Unternehmen bremsen. Das senkt nicht nur gegenwärtig die Chancen auf eine konjunkturelle Erholung, sondern wirkt auch mittelfristig hemmend auf das Produktionspotenzial. Alles in allem wird wohl das Bruttoinlandsprodukt (BIP) laut IWH-Flash-Indikator im ersten Quartal 2025 nur wenig um 0,2% und im zweiten Quartal um 0,3% zulegen.

In a multi-sector and multi-region framework, this paper employs a dynamic general equilibrium model to analyze climate-resilient economic development (DGE-CRED) in Vietnam. We calibrate sector and region-specific damage functions and quantify climate variable impacts on productivity and capital formation for various shared socioeconomic pathways (SSPs 119, 245, and 585). Our results based on simulations and cost-benefit analyses reveal a projected 5 percent reduction in annual GDP by 2050 in the SSP 245 scenario. Adaptation measures for the dyke system are crucial to mitigate the consumption gap, but they alone cannot sufficiently address it. Climate-induced damages to agriculture and labor productivity are the primary drivers of consumption reductions, underscoring the need for focused adaptation measures in the agricultural sector and strategies to reduce labor intensity as vital policy considerations for Vietnam’s response to climate change.

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.

This paper investigates forecast aggregation via the random subspace regressions method (RSM) and explores the potential link between RSM and the Shapley value decomposition (SVD) using the US GDP growth rates. This technique combination enables handling high-dimensional data and reveals the relative importance of each individual forecast. First, it is possible to enhance forecasting performance in certain practical instances by randomly selecting smaller subsets of individual forecasts and obtaining a new set of predictions based on a regression-based weighting scheme. The optimal value of selected individual forecasts is also empirically studied. Then, a connection between RSM and SVD is proposed, enabling the examination of each individual forecast’s contribution to the final prediction, even when there is a large number of forecasts. This approach is model-agnostic (can be applied to any set of predictions) and facilitates understanding of how the aggregated prediction is obtained based on individual forecasts, which is crucial for decision-makers.

The German economy has stagnated for over two years, with a slow recovery anticipated in the coming quarters. However, growth is unlikely to reach pre-COVID-19 levels anytime soon. Decarbonisation, digitisation, demographic changes, and heightened competition from China are dampening growth prospects. GDP is projected to decline by 0.1 % in 2024, with increases of 0.8 % and 1.3 % in the subsequent years. Rising private consumption and improving foreign trade are expected to contribute positively to the economic upturn in Germany. Economic policy should prioritise reducing productivity barriers, facilitating structural changes, and lowering political uncertainty to support recovery.