Tracking Weekly State-Level Economic Conditions
Christiane Baumeister, Danilo Leiva-León, Eric Sims
Review of Economics and Statistics,
im Erscheinen
Abstract
This paper develops a novel dataset of weekly economic conditions indices for the 50 U.S. states going back to 1987 based on mixed-frequency dynamic factor models with weekly, monthly, and quarterly variables that cover multiple dimensions of state economies. We find considerable cross-state heterogeneity in the length, depth, and timing of business cycles. We illustrate the usefulness of these state-level indices for quantifying the main contributors to the economic collapse caused by the COVID-19 pandemic and for evaluating the effectiveness of the Paycheck Protection Program. We also propose an aggregate indicator that gauges the overall weakness of the U.S. economy.
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Neue Basel-Regeln: Mehr Stabilität, weniger Kredite?
Reint E. Gropp
Wirtschaft im Wandel,
Nr. 4,
2021
Abstract
Ein Kernpunkt des geplanten Basel-III-Regelwerks sind die gestiegenen Eigenkapitalanforderungen. Umsetzungsprobleme könnten die gewünschten Effekte der Reformen jedoch konterkarieren. Zum einen könnten Banken ihre Eigenkapitalquote erhöhen, indem sie weniger Kredite an risikoreiche Kreditnehmer vergeben, statt ihr Eigenkapital
aufzustocken. Hiervon wären vor allem mittelständische Unternehmen ohne Kreditrating betroffen. Zum anderen lassen auch die neuen, strengeren Regeln den nationalen Bankenaufsehern Bewertungsspielräume, die von den Banken – politisch geduldet – zu einer Inflationierung ihres Eigenkapitals genutzt werden könnten.
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Die Deutsche Wirtschaft in der Pandemie
Eva Dettmann, André Diegmann, Ute Leber, Matthias Mertens, Steffen Müller, Verena Plümpe, Barbara Schwengler
IAB-Forschungsbericht,
2021
Abstract
Der Ausbruch der Corona-Pandemie zu Beginn des Jahres 2020 beendete die längste Wachstumsphase der Wirtschaft im wiedervereinten Deutschland. Schon die erste Welle der Corona-Krise bedeutet einen großen Einschnitt in die Geschäftstätigkeit vieler Betriebe in Deutschland, etwa zwei Drittel aller Betriebe in West- und Ostdeutschland sind zum Befragungszeitpunkt, d.h. zwischen Juni und Oktober 2020, von negativen Auswirkungen der Pandemie oder den Maßnahmen zu ihrer Eindämmung betroffen. Den Rückgang der Nachfrage bezeichnen 85 Prozent und damit mit Abstand die meisten Betriebe in Deutschland als problematisch. Behördlich angeordnete Schließungen wirkten sich auf die Geschäftstätigkeit etwa eines Drittels der Betriebe negativ aus. Vor allem betroffene kleine (neun Prozent) und Kleinstbetriebe (zwölf Prozent) sehen sich in ihrer Existenz bedroht.
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Aktuelle Trends: Weniger Gewerbeabmeldungen seit Beginn der Pandemie
Steffen Müller
Wirtschaft im Wandel,
Nr. 4,
2021
Abstract
Insolvente Unternehmen sind zahlungsunfähig oder überschuldet und werden in den allermeisten Fällen geschlossen. Dagegen wird ein Gewerbe nicht nur bei der Insolvenz eines Betriebes abgemeldet, sondern z. B. auch, wenn ein Weiterbetrieb nicht lohnend erscheint. Somit sollte sich die gegenwärtige Corona-Krise auch in einer höheren Zahl an Gewerbeabmeldungen spiegeln.
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The Social Capital Legacy of Communism-results from the Berlin Wall Experiment
Peter Bönisch, Lutz Schneider
European Journal of Political Economy,
Nr. 32,
2013
Abstract
In this paper we establish a direct link between the communist history, the resulting structure of social capital, and attitudes toward spatial mobility. We argue that the communist regime induced a specific social capital mix that discouraged geographic mobility even after its demise. Theoretically, we integrate two branches of the social capital literature into one more comprehensive framework distinguishing an open type and a closed type of social capital. Using the German Socio-Economic Panel (GSOEP) we take advantage of the natural experiment that separated Germany into two parts after the WWII to identify the causal effect of social capital on mobility. We estimate a three equation ordered probit model and provide strong empirical evidence for our theoretical propositions.
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The Identification of Industrial Clusters – Methodical Aspects in a Multidimensional Framework for Cluster Identification
Mirko Titze, Matthias Brachert, Alexander Kubis
Abstract
We use a combination of measures of spatial concentration, qualitative input-output analysis and innovation interaction matrices to identify the horizontal and vertical dimension of industrial clusters in Saxony in 2005. We describe the spatial allocation of the industrial clusters and show possibilities of vertical interaction of clusters based on intermediate goods flows. With the help of region and sector-specific knowledge interaction matrices we are able to show that a sole focus on intermediate goods flows limits the identification of innovative actors in industrial clusters, as knowledge flows and intermediate goods flows do not show any major overlaps.
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Identifying Industrial Clusters from a Multidimensional Perspective: Methodical Aspects with an Application to Germany
Matthias Brachert, Mirko Titze, Alexander Kubis
Papers in Regional Science,
Nr. 2,
2011
Abstract
If regional development agencies assume the cluster concept to be an adequate framework to promote regional growth and competitiveness, it is necessary to identify industrial clusters in a comprehensive manner. Previous studies used a diversity of methods to identify the predominant concentrations of economic activity in one industrial sector in a region. This paper is based on a multidimensional approach developed by Titze et al. With the help of the combination of concentration measures and input–output methods they were able to identify horizontal and vertical dimensions of industrial clusters. This paper aims to refine this approach by using a superior measure of spatial concentration and by integrating information about spatial interdependence of industrial cluster structures to contribute to a more adequate framework for industrial cluster identification.
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The Emergence of Wage Coordination in the Central Western European Metal Sector and its Relationship to European Economic Policy
Vera Glassner, Toralf Pusch
Abstract
In the European Monetary Union the transnational coordination of collective wage bargaining has acquired increased importance on the trade union agenda. The metal sector has been at the forefront of these developments. This paper addresses the issue of crossborder coordination of wage setting in the metal sector in the central western European region, that is, in Germany, the Netherlands and Belgium, where coordination practices have become firmly established in comparison to other sectors. When testing the interaction of wage developments in the metal sector of these three countries, relevant macroeconomic (inflation and labour productivity) and sector-related variables (employment, export-dependence) are considered with reference to the wage policy guidelines of the European Commission and the European Metalworkers’ Federation. Empirical evidence can be found for a wage coordination effect in the form of increasing compliance with the wage policy guidelines of the European Metalworkers’ Federation. The evidence for compliance with the stability-oriented wage guideline of the European Commission is weaker.
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The Extreme Risk Problem for Monetary Policies of the Euro-Candidates
Hubert Gabrisch, Lucjan T. Orlowski
Abstract
We argue that monetary policies in euro-candidate countries should also aim at mitigating excessive instability of the key target and instrument variables of monetary policy during turbulent market periods. Our empirical tests show a significant degree of leptokurtosis, thus prevalence of tail-risks, in the conditional volatility series of such variables in the euro-candidate countries. Their central banks will be well-advised to use both standard and unorthodox (discretionary) tools of monetary policy to mitigate such extreme risks while steering their economies out of the crisis and through the euroconvergence process. Such policies provide flexibility that is not embedded in the Taylor-type instrument rules, or in the Maastricht convergence criteria.
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Should We Trust in Leading Indicators? Evidence from the Recent Recession
Katja Drechsel, Rolf Scheufele
Abstract
The paper analyzes leading indicators for GDP and industrial production in Germany. We focus on the performance of single and pooled leading indicators during the pre-crisis and crisis period using various weighting schemes. Pairwise and joint significant tests are used to evaluate single indicator as well as forecast combination methods. In addition, we use an end-of-sample instability test to investigate the stability of forecasting models during the recent financial crisis. We find in general that only a small number of single indicator models were performing well before the crisis. Pooling can substantially increase the reliability of leading indicator forecasts. During the crisis the relative performance of many leading indicator models increased. At short horizons, survey indicators perform best, while at longer horizons financial indicators, such as term spreads and risk spreads, improve relative to the benchmark.
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