Do Better Capitalized Banks Lend Less? Long-run Panel Evidence from Germany
Claudia M. Buch, Esteban Prieto
International Finance,
Nr. 1,
2014
Abstract
Higher capital features prominently in proposals for regulatory reform. But how does increased bank capital affect business loans? The real costs of increased bank capital in terms of reduced loans are widely believed to be substantial. But the negative real-sector implications need not be severe. In this paper, we take a long-run perspective by analysing the link between the capitalization of the banking sector and bank loans using panel cointegration models. We study the evolution of the German economy for the past 44 years. Higher bank capital tends to be associated with higher business loan volume, and we find no evidence for a negative effect. This result holds both for pooled regressions as well as for the individual banking groups in Germany.
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Regulation, Innovation and Technology Diffusion - Evidence from Building Energy Efficiency Standards in Germany
Makram El-Shagi, Claus Michelsen, Sebastian Rosenschon
Discussionpapers des DIW Berlin,
Nr. 1371,
2014
Abstract
The impact of environmental regulation on technology diffusion and innovations is studied using a unique data set of German residential buildings. We analyze how energy efficiency regulations, in terms of minimum standards, affects energy-use in newly constructed buildings and how it induces innovation in the residential-building industry. The data used consists of a large sample of German apartment houses built between 1950 and 2005. Based on this information, we determine their real energy requirements from energy performance certificates and energy billing information. We develop a new measure for regulation intensity and apply a panel-error-correction regression model to energy requirements of low and high quality housing. Our findings suggest that regulation significantly impacts technology adoption in low quality housing. This, in turn, induces improvements in the high quality segment where innovators respond to market signals.
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The Impact of Institutional and Social Characteristics on Foreign Direct Investment: Evidence from Japan
Stefan Eichler, Alexander Karmann, N. Lucke
Annals of Financial Economics,
Nr. 2,
2013
Abstract
We examine the determinants of Japanese foreign direct investment (FDI) focusing on institutional and social factors. Using panel data on 59 countries from 1995 to 2008, we find that host countries with free and open markets and greater cultural distance from Japan attract Japanese FDI. Good institutions, such as a well-developed legal framework and an effective government, are important in promoting Japanese FDI to emerging economies, whereas fewer regulatory restrictions, lower tax burden, and more religious diversity attract Japanese FDI to developed countries. We find that corruption stimulates Japanese FDI to developed countries, which is contrary to most previous research.
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Sovereign Default Risk and Decentralization: Evidence for Emerging Markets
Stefan Eichler, M. Hofmann
European Journal of Political Economy,
Nr. 32,
2013
Abstract
We study the impact of decentralization on sovereign default risk. Theory predicts that decentralization deteriorates fiscal discipline since subnational governments undertax/overspend, anticipating that, in the case of overindebtedness, the federal government will bail them out. We analyze whether investors account for this common pool problem by attaching higher sovereign yield spreads to more decentralized countries. Using panel data on up to 30 emerging markets in the period 1993–2008 we confirm this hypothesis. Higher levels of fiscal and political decentralization increase sovereign default risk. Moreover, higher levels of intergovernmental transfers and a larger number of veto players aggravate the common pool problem.
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Network Formation: R&D Cooperation Propensity and Timing Among German Laser Source Manufacturers
Muhamed Kudic, Andreas Pyka, Marco Sunder
IWH Discussion Papers,
Nr. 9,
2013
Abstract
Empirical evidence on the evolution of innovation networks within high-tech industries is still scant. We investigate network formation processes by analyzing the timing of firms to enter R&D cooperations, using data on laser source manufacturers in Germany, 1990-2010. Network measures are constructed from a unique industry database that allows us to track both the formation and the termination of ties. Regression results reveal that a firm's knowledge endowment (and cooperation experience) shortens the duration to first (and consecutive) cooperation events. The previous occupation of strategic network positions is closely related to the establishment of further R&D cooperations at a swift pace. Geographic co-location produces mixed results in our analysis.
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Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment
Katja Drechsel, Rolf Scheufele
Abstract
This paper presents a method to conduct early estimates of GDP growth in Germany. We employ MIDAS regressions to circumvent the mixed frequency problem and use pooling techniques to summarize efficiently the information content of the various indicators. More specifically, we investigate whether it is better to disaggregate GDP (either via total value added of each sector or by the expenditure side) or whether a direct approach is more appropriate when it comes to forecasting GDP growth. Our approach combines a large set of monthly and quarterly coincident and leading indicators and takes into account the respective publication delay. In a simulated out-of-sample experiment we evaluate the different modelling strategies conditional on the given state of information and depending on the model averaging technique. The proposed approach is computationally simple and can be easily implemented as a nowcasting tool. Finally, this method also allows retracing the driving forces of the forecast and hence enables the interpretability of the forecast outcome.
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Cooperation Events, Ego-Network Characteristics and Firm Innovativeness – Empirical Evidence from the German Laser Industry
Muhamed Kudic, Katja Guhr
IWH Discussion Papers,
Nr. 6,
2013
Abstract
We study how firm innovativeness is related to individual cooperation events and the structure and dynamics of firms’ ego-networks employing a unique panel dataset for the full population of 233 German laser source manufactures between 1990 and 2010. Firm innovativeness is measured by yearly patent applications as well as patent grants with a two year time-lag. Network measures are calculated on the basis of 570 knowledge-related publicly funded R&D alliances. Estimation results from a panel data count model with fixed effects are suggestive of direct innovation effects due to individual cooperation events, but only as long as structural ego-network characteristics are neglected. Innovativeness is robustly related to ego-network size and ego-network brokerage whereas ego-network density reveals some surprising results.
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The Role of Uncertainty in the Euro Crisis - A Reconsideration of Liquidity Preference Theory
Toralf Pusch
Journal of Post Keynesian Economics,
2013
Abstract
With the world financial crisis came the rediscovery of the active role fiscal policy could play in remedying the situation. More recently, the Euro Crisis, with its mounting funding costs facing governments of a number of Southern EU member states and Ireland, has called this strategy into question. Opposing this view, the main point of this contribution is to elaborate on the link between rising sovereign risk premia in the Eurozone and a major feature of the financial crisis - elevated uncertainty after the Lehman collapse. Theoretically, this link is developed with reference to Keynes' liquidity preference theory. The high explanatory power of rising uncertainty in financial markets and the detrimental effects of fiscal austerity on the evolution of sovereign risk spreads are demonstrated empirically by means of panel regressions and supplementary correlation analyses.
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Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment
Katja Drechsel, Rolf Scheufele
Abstract
This paper presents a method to conduct early estimates of GDP growth in Germany. We employ MIDAS regressions to circumvent the mixed frequency problem and use pooling techniques to summarize efficiently the information content of the various indicators. More specifically, we investigate whether it is better to disaggregate GDP (either via total value added of each sector or by the expenditure side) or whether a direct approach is more appropriate when it comes to forecasting GDP growth. Our approach combines a large set of monthly and quarterly coincident and leading indicators and takes into account the respective publication delay.
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