This paper examines the extent to which errors in economic forecasts are driven by initial assumptions that prove to be incorrect ex post. Therefore, we construct a new data set comprising an unbalanced panel of annual forecasts from different institutions forecasting German GDP and the underlying assumptions. We explicitly control for different forecast horizons to proxy the information available at the release date. Over 75% of squared errors of the GDP forecast comove with the squared errors in their underlying assumptions. The root mean squared forecast error for GDP in our regression sample of 1.52% could be reduced to 1.13% by setting all assumption errors to zero. This implies that the accuracy of the assumptions is of great importance and that forecasters should reveal the framework of their assumptions in order to obtain useful policy recommendations based on economic forecasts.

This paper analyses whether and since when East and West German business cycles are synchronised. We investigate real GDP, unemployment rates and survey data as business cycle indicators and employ several empirical methods. Overall, we find that the regional business cycles have synchronised over time. GDP-based indicators and survey data show a higher degree of synchronisation than the indicators based on unemployment rates. However, recently synchronisation among East and West German business cycles seems to become weaker, in line with international evidence.

In recent years, the impacts of climate change become increasingly evident, both in magnitude and frequency. The design and implementation of adequate climate adaptation policies play an important role in the macroeconomic policy discourse to assess the impact of climate change on regional and sectoral economic growth. We propose different modelling approaches to quantify the socio-economic impacts of climate change and design specific adaptations in three emerging market economies (Kazakhstan, Georgia and Vietnam) which belong to the areas that are heavily exposed to climate change. A Dynamic General Equilibrium (DGE) model has been used for Vietnam and economy-energy-emission (E3) models for the other two countries. Our modelling results show how different climate hazards impact the economy up to the year 2050. Adaptation measures in particular in the agricultural sector have positive implications for the gross domestic product (GDP). However, some adaptation measures can even increase greenhouse gas emissions. In addition, the focus on GDP as the main indicator to evaluate policy measures can produce welfare-reducing policy decisions.

This paper addresses a general problem with surveys asking agents for their assessment of the state of the economy: answers are highly dependent on information that is publicly available, while only information that is not already publicly known has the potential to improve a professional forecast. We propose a simple procedure to disentangle the private information of agents from knowledge that is already publicly known (that is common knowledge) for surveys that are structured like that for the European Commission's consumer sentiment indicator. We show that, empirically, this procedure works quite well for some economies, in particular for Germany.

In the fight against global warming, the reduction of greenhouse gas emissions is a major objective. In particular, a decrease in electricity generation by coal could contribute to reducing CO2 emissions. Using a multi-region dynamic general equilibrium model, this paper studies potential economic consequences of a coal phase-out in Germany. Different regional phase-out scenarios are simulated with varying timing structures. We find that a politically induced coal phase-out would lead to an increase in the national unemployment rate by about 0.10 percentage points from 2020 to 2040, depending on the specific scenario. The effect on regional unemployment rates varies between 0.18 to 1.07 percentage points in the lignite regions. However, a faster coal phase-out can lead to a faster recovery. The coal phase-out leads to migration from German lignite regions to German non-lignite regions and reduces the labour force in the lignite regions by 10,000 people by 2040.

Der Klimawandel in Schleswig-Holstein führt zu Veränderungen in Umwelt, Wirtschaft und Arbeitswelt, und er hat Auswirkungen auf die Gesundheit der Menschen. Der wissenschaftliche Konsens geht davon aus, dass die sozioökonomischen und ökologischen Effekte des Klimawandels weltweit überwiegend negativ sein werden. Aus diesem Grund schreibt das Klimaschutzgesetz vor, dass die deutschen Treibhausgasemissionen bis zum Jahr 2030 um mindestens 65% und bis zum Jahr 2040 um mindestens 88% reduziert werden sollen; bis zum Jahr 2045 soll Klimaneutralität in Deutschland erreicht werden. Schleswig-Holstein hat eigene Klimaschutzziele und Maßnahmen eingeführt. Unsicherheiten bestehen jedoch hinsichtlich der nationalen und regionalen Kosten des Klimawandels. Bisherige Studien deuten darauf hin, dass in der zweiten Hälfte des 21. Jahrhunderts in Deutschland die jährlichen Verluste des Bruttoinlandsprodukts unter einem Prozent liegen werden. Zur Plausibilisierung dieser Zahl ist es notwendig, eine transparente und replizierbare Klimawandelfolgenabschätzung für Schleswig-Holstein vorzunehmen. Es wird daher empfohlen, dem Antrag zuzustimmen.