Assessing the Effects of Regulatory Bank Levies
Claudia M. Buch, Lena Tonzer, Benjamin Weigert
VOX CEPR's Policy Portal,
2017
Abstract
In response to the Global Crisis, governments have implemented restructuring and resolution regimes backed by funds financed by bank levies. Bank levies aim to internalise system risk externalities and to provide funding for bank recovery and resolution. This column explores bank levy design by considering the German and European cases. The discussion points to the importance of structured policy evaluations to determine the effects of levies.
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Should Forecasters Use Real-time Data to Evaluate Leading Indicator Models for GDP Prediction? German Evidence
Katja Heinisch, Rolf Scheufele
Abstract
In this paper we investigate whether differences exist among forecasts using real-time or latest-available data to predict gross domestic product (GDP). We employ mixed-frequency models and real-time data to reassess the role of survey data relative to industrial production and orders in Germany. Although we find evidence that forecast characteristics based on real-time and final data releases differ, we also observe minimal impacts on the relative forecasting performance of indicator models. However, when obtaining the optimal combination of soft and hard data, the use of final release data may understate the role of survey information.
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Taxing Banks: An Evaluation of the German Bank Levy
Claudia M. Buch, Björn Hilberg, Lena Tonzer
Journal of Banking and Finance,
November
2016
Abstract
Bank distress can have severe negative consequences for the stability of the financial system. Regimes for the restructuring and resolution of banks, financed by bank levies, aim at reducing these costs. This paper evaluates the German bank levy, which has been implemented since 2011. Our analysis offers three main insights. First, revenues raised through the levy were lower than expected. Second, the bulk of the payments were contributed by large commercial banks and by the central institutions of savings banks and credit unions. Third, for those banks, which were affected by the levy, we find evidence for a reduction in lending and higher deposit rates.
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Qual VAR Revisited: Good Forecast, Bad Story
Makram El-Shagi, Gregor von Schweinitz
Journal of Applied Economics,
No. 2,
2016
Abstract
Due to the recent financial crisis, the interest in econometric models that allow to incorporate binary variables (such as the occurrence of a crisis) experienced a huge surge. This paper evaluates the performance of the Qual VAR, originally proposed by Dueker (2005). The Qual VAR is a VAR model including a latent variable that governs the behavior of an observable binary variable. While we find that the Qual VAR performs reasonable well in forecasting (outperforming a probit benchmark), there are substantial identification problems even in a simple VAR specification. Typically, identification in economic applications is far more difficult than in our simple benchmark. Therefore, when the economic interpretation of the dynamic behavior of the latent variable and the chain of causality matter, use of the Qual VAR is inadvisable.
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Identifying the Effects of Place-based Policies – Causal Evidence from Germany
Matthias Brachert, Eva Dettmann, Mirko Titze
IWH Discussion Papers,
No. 18,
2016
Abstract
The German government provides discretionary investment grants to structurally weak regions to reduce regional disparities. We use a regression discontinuity design that exploits an exogenous discrete jump in the probability of receiving investment grants to identify the causal effects of the investment grant on regional outcomes. We find positive effects for regional gross value-added and productivity growth, but no effects for employment and gross wage growth.
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The Role of Complexity for Bank Risk during the Financial Crisis: Evidence from a Novel Dataset
Thomas Krause, Talina Sondershaus, Lena Tonzer
Abstract
We construct a novel dataset to measure banks’ business and geographical complexity. Using these measures of complexity, we evaluate how they relate to banks’ idiosyncratic and systemic riskiness. The sample covers stock listed banks in the euro area from 2007 to 2014. Our results show that banks have increased their total number of subsidiaries while business and geographical complexity have declined. Bank stability is significantly affected by our complexity measures, whereas the direction of the effect differs across the complexity measures: Banks with a higher degree of geographical complexity and a higher share of foreign subsidiaries seem to be less stable. In contrast, a higher share of non-bank subsidiaries significantly decreases the probability for a state aid request during the recent crisis period. This heterogeneity advises against the use of a single complexity measure when evaluating the implications of bank complexity.
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College Choice and the Selection of Mechanisms: A Structural Empirical Analysis
J.-R. Carvalho, T. Magnac, Qizhou Xiong
Abstract
We use rich microeconomic data on performance and choices of students at college entry to study the interaction between the revelation of college preferences through exams and the selection of allocation mechanisms. We propose a method in which preferences and expectations of students are identified from data on choices and multiple exam grades. Counterfactuals we consider balance costs arising from congestion and exam organization. Moving to deferred acceptance or inverting the timing of choices and exams are shown to increase welfare. Redistribution among students or schools is sizeable in all counterfactual experiments.
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Transition to Clean Technology
Daron Acemoglu, Ufuk Akcigit, Douglas Hanley, William R. Kerr
Journal of Political Economy,
No. 1,
2016
Abstract
We develop an endogenous growth model in which clean and dirty technologies compete in production. Research can be directed to either technology. If dirty technologies are more advanced, the transition to clean technology can be difficult. Carbon taxes and research subsidies may encourage production and innovation in clean technologies, though the transition will typically be slow. We estimate the model using microdata from the US energy sector. We then characterize the optimal policy path that heavily relies on both subsidies and taxes. Finally, we evaluate various alternative policies. Relying only on carbon taxes or delaying intervention has significant welfare costs.
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The Impact of Dark Trading and Visible Fragmentation on Market Quality
Hans Degryse, Frank de Jong, Vincent van Kervel
Review of Finance,
No. 4,
2015
Abstract
Two important characteristics of current equity markets are the large number of competing trading venues with publicly displayed order books and the substantial fraction of dark trading, which takes place outside such visible order books. This article evaluates the impact on liquidity of dark trading and fragmentation in visible order books. Dark trading has a detrimental effect on liquidity. Visible fragmentation improves liquidity aggregated over all visible trading venues but lowers liquidity at the traditional market, meaning that the benefits of fragmentation are not enjoyed by investors who choose to send orders only to the traditional market.
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The Age of Global Value Chains: Maps and Policy Issues
Joao Amador, Filippo di Mauro
CEPR Press,
2015
Abstract
Global value chains (GVCs) - referring to the cross-border flows of goods, investment, services, know-how and people associated with international production networks - have transformed the world. Their emergence has resulted in a complete reconfiguration of world trade, bearing a strong impact on the assessment of competitiveness and economic policy. The contributions to this eBook are based on research carried out within the scope of the Eurosystem Competitiveness Research Network (CompNet), bringing together participants from EU national central banks, universities and international organisations interested in competitiveness issues. The mapping of GVCs and full awareness about their implications are essential to informed public debate and improved economic policy.
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