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Firmenpleiten auf höchstem Stand seit mehr als zwei JahrzehntenSteffen MüllerDer Spiegel, 9. April 2026
The paper describes the “Halle Institute for Economic Research (IWH) Forecasting Dashboard (ForDas)”. This tool aims at providing, on a non-commercial basis, historical and actual macroeconomic forecast data for the Germany economy to researchers and interested audiences. The database renders it possible to directly compare forecast quality across selected institutions and over time. It is partly based on data collected in the DFG-funded project “Macroeconomic Forecasts in Great Crises”.
Using data from the OECD Regional Well-Being Index – a set of quality-of-life indicators measured at the sub-national level – we construct a set of composite well-being indices. We analyze the extent to which the choice of five alternative aggregation methods affects the well-being ranking of regions. We find that regional inequality in these composite measures is lower than regional inequality in real GDP per capita. For most aggregation methods, the rank correlation across regions appears to be quite high. It is also shown that using alternative indices instead of GDP per capita would only have a small effect on the set of regions eligible for aid from EU Structural Funds. The exception appears to be an aggregation based on how individual dimensions relate to average life satisfaction across regions, which would substantially change both the ranking of regions and which regions would be eligible for EU funds.
A frequent criticism of GDP states that events that obviously reduce welfare of people can nevertheless increase GDP per capita. We use data of natural disasters as quasi experiments to examine whether alternatives to GDP (Human Development Index, Progress Index, Index of Economic Well-Being and a Happiness Index) lead to more plausible responses to disasters. Applying a Differences-in-Differences approach and estimates from various panels of countries we find no noteworthy differences between the response of real GDP per capita and the responses of suggested alternative welfare measures to a natural disaster except for the Human Development Index.
Using data from the OECD Regional Well-Being Index – a set of quality-of-life indicators measured at the sub-national level, we construct a set of composite well-being indices. We analyse the extent to which the choice of five alternative aggregation methods affects the well-being ranking of regions. We find that regional inequality in these composite measures is lower than regional inequality in gross-domestic product (GDP) per capita. For most aggregation methods, the rank correlation across regions appears to be quite high. It is also shown that using alternative indicators instead of GDP per capita would only have a small effect on the set of regions eligible for aid from EU Structural Funds. The exception appears to be an aggregation based on how individual dimensions of welfare relate to average life satisfaction across regions, which would substantially change both the ranking of regions and which regions would receive EU funds.
Die bundespolitische Maßnahme der Energiewende und das Erneuerbare-Energien-Gesetz (EEG) als Teil davon haben in Sachsen-Anhalt Hoffnungen ausgelöst, die insbesondere mit der Förderung grüner Technologien in Verbindung standen. Das vorliegende Papier stellt eine Analyse der Wirkungen von Subventionen im Allgemeinen dar und widmet sich dem EEG und seiner Auswirkungen im Speziellen. Dazu werden auch Ergebnisse einer Befragung herangezogen, welche die Industrie- und Handelskammer (IHK) Halle-Dessau bei Unternehmen im südlichen Sachsen-Anhalt durchgeführt hat.
We discuss properties of alternatives or complements to GDP as a measure of welfare at business cycle frequencies. Our results imply that the suggested indicators show practically no cycle at all and their methodologies can be questioned. First, data are not available at an appropriate quality and frequency. Second, the suggested time series sometimes correlate negatively with each other. Third, cross-section and quasi-panel evidence based on different samples of countries reveals no impact of the stance of the business cycle on some suggested welfare measures. Therefore, alternative welfare measures do not show an equal picture on business cycle frequencies compared to GDP-based measures.
We test whether there has been a “Great Moderation“ of output volatility at the firm level. The multifactor residual model proposed by Pesaran (2006) is used to isolate the idiosyncratic component of firms' sales growth from macroeconomic developments. This methodology is applied to a balanced panel of about 1,200 German firms covering a 35-year period (1971-2005). Our research has three main findings. First, unconditional firm-level volatility and aggregate output volatility have seen similar downward trends. Second, conditional, idiosyncratic firm-level volatility does not exhibit a downward trend. Third, there is a positive link between growth and volatility at the firm level.
There is a widespread concern that increased trade may lead to increased instability and thus risk at the firm level. Greater export openness can indeed affect firm-level volatility by changing the exposure and the reaction of firms to macroeconomic developments. The net effect is ambiguous from a theoretical point of view. This paper provides firm-level evidence on the link between openness and volatility. Using comprehensive data on more than 21,000 German manufacturing firms for the period 1980–2001, we analyse the evolution of firm-level output volatility and the link between volatility and export openness. Our paper has three main findings. First, firm-level output volatility is significantly higher than the level of aggregate volatility, but it displays similar patterns. Second, increased export openness lowers firm-level output volatility. This effect is primarily driven by variations along the extensive margin, i.e. by the distinction between exporters and non-exporters. Variations along the intensive margin, i.e. the volume of exports, tend to have a dampening impact on volatility as well. Third, small firms are more volatile than large firms.
Purpose – The purpose of this paper is two-fold. First, it studies whether output volatility and growth are linked at the firm-level, using data for German firms. Second, it explores whether the link between volatility and growth depends on the degree of credit market imperfections.
Design/methodology/approach – The authors use a novel firm-level dataset provided by the Deutsche Bundesbank, the so-called Financial Statements Data Pool. The dataset has time series observations for German firms for the period 1997-2004, and the authors use information on the debt-to-assets or leverage ratio of firms to proxy for credit-constraints at the firm-level. As additional proxies for the importance of credit market imperfections, we use information on the size and on the legal status of firms.
Findings – The authors find that higher volatility has a negative impact on growth for small and a positive impact for larger firms. Higher leverage is associated with higher growth. At the same time, there is heterogeneity in the determinants of growth across firms from different sectors and across firms with a different legal status.
Practical implications – While most traditional macroeconomic models assume that growth and volatility are uncorrelated, a number of microeconomic models suggest that the two may be linked. However, it is unclear whether the link is positive or negative. The paper presents additional evidence regarding this question. Moreover, understanding whether credit market conditions affect the link between volatility and growth is of importance for policy makers since it suggests a channel through which the credit market can have long-run welfare implications. The results stress the importance of firm-level heterogeneity for the effects and effectiveness of economic policy measures.
Originality/value – The paper has two main novel features. First, it uses a novel firm-level dataset to analyze the determinants of firm-level growth. Second, it analyzes the growth-volatility nexus using firm-level data. To the best of the authors' knowledge, this is the first paper, which addresses the link between volatility, growth, and credit market imperfections using firm-level data.
This paper discusses whether the integration of international financial markets affects business cycle volatility. In the framework of a new open economy macro-model, we show that the link between financial openness and business cycle volatility depends on the nature of the underlying shock. Empirical evidence supports this conclusion. Our results also show that the link between business cycle volatility and financial openness has not been stable over time.
