Cross-Border Bank Contagion in Europe
Reint E. Gropp, M. Lo Duca, Jukka M. Vesala
International Journal of Central Banking,
No. 1,
2009
Abstract
We analyze cross-border contagion among European banks in the period from January 1994 to January 2003. We use a multinomial logit model to estimate, in a given country, the number of banks that experience a large shock on the same day (“coexceedances”) as a function of common shocks and lagged coexceedances in other countries. Large shocks are measured by the bottom 95th percentile of the distribution of the daily percentage change in distance to default of banks.We find evidence of significant cross-border contagion among large European banks, which is consistent with a tiered cross-border interbank structure. The results also suggest that contagion increased after the introduction of the euro.
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Professor Qualities and Student Achievement
Florian Hoffmann, Philip Oreopoulos
Review of Economics and Statistics,
No. 1,
2009
Abstract
This paper analyzes the importance of teacher quality at the college level. Instructors are matched to objective and subjective characteristics of teacher quality to estimate the impact of rank, salary, and perceived effectiveness on student performance and subject interest. Student and course fixed effects, time of day and week controls, and students' lack of knowledge about first-year instructors help minimize selection biases. Subjective teacher evaluations perform well in measuring instructor influences on students, while objective characteristics such as rank and salary do not. Overall, the importance of college instructor differences is small, but important outliers exist.
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Estimation Uncertainty in Credit Risk Assessment: Comparison of Credit Risk Using Bootstrapping and an Asymptotic Approach
Henry Dannenberg
IWH Discussion Papers,
No. 3,
2009
Abstract
For credit risk assessment, probability of default and correlation have to be estimated simultaneously. However, these estimates are uncertain. To assess this uncertainty the literature has discussed the use of asymptotic confidence regions. This kind of region though needs a long credit history for exact assessment. An alternative method to generate a confidence region for a short credit history is bootstrapping. Hence, it could be more appropriate to assess estimation uncertainty with bootstrapping than with asymptotic methods if only a short credit history is available. Based on a simulation study, it is analyzed how many periods should be available for assessing credit risk – taking account of estimation uncertainty – if bootstrapping and a Wald confidence region shall achieve similar results. This article shows that more than 100 cycles have to be available for similar results.
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Contestability, Technology and Banking
S. Corvoisier, Reint E. Gropp
ZEW Discussion Papers, No. 09-007,
No. 7,
2009
Abstract
We estimate the effect of internet penetration on retail bank margins in the euro area. Based on an adapted Baumol [1982] type contestability model, we argue that the internet has reduced sunk costs and therefore increased contestability in retail banking. We test this conjecture by estimating the model using semi-aggregated data for a panel of euro area countries. We utilise time series and cross-sectional variation in internet penetration. We find support for an increase in contestability in deposit markets, and no effect for loan markets. The paper suggests that for time and savings deposits, the presence of brick and mortar bank branches may no longer be of first order importance for the assessment of the competitive structure of the market.
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Evidence on the effects of inflation on price dispersion under indexation
Juliane Scharff, S. Schreiber
IMK Working Paper, No. 12/2008,
2008
Abstract
Distortionary effects of inflation on relative prices are the main argument for inflation stabilization in macro models with sticky prices. Under indexation of non-optimized prices those models imply a nonlinear and dynamic impact of inflation on the cross-sectional price dispersion (relative-price variability, RPV). Using US sectoral prices we estimate (a generalized form of) the theoretical relationship between inflation and RPV. We confirm the impact of inflation fluctuations but find hitherto neglected endogeneity biases, and our IV and GMM estimates indicate that average (“trend“) inflation is significant for indexation. Lagged inflation is less important.
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Vergleich der Kreditrisikobewertung bei Berücksichtigung von Schätzunsicherheit und Korrelation – Welche Risikokomponente Sollten Unternehmen bei der Bewertung von Forderungsportfoliorisiken wann berücksichtigen?
Henry Dannenberg
Die Unternehmung Swiss Journal of Business Research and Practice,
2008
Abstract
The use of probability of default estimates to assess the risks of a credit portfolio should not ignore estimation uncertainty. The latter can be quantified by confidence intervals. But assumptions about dependencies of these intervals are inconsistent with assumptions of conventional credit portfolio models. Based on simulation studies this paper shows that a model which includes estimation uncertainty but ignores default correlation might estimate the real credit risk more correctly than a model that implicates default correlation but ignore estimation uncertainty. The latter is a trait of conventional credit portfolio models. In this paper quantifying of estimation uncertainty based on the idea of confidence intervals and the underlying probability distributions of these intervals.
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Spatially Concentrated Industries as Innovation Driver? – Empirical Evidence from East Germany
Christoph Hornych, Michael Schwartz
Wirtschaft im Wandel,
No. 9,
2008
Abstract
A positive relation between the spatial concentration of sectors and their capacity of innovation is frequently assumed in regional science as well as in regional development policy. Therefore, with the support of sectoral agglomeration, effects on the regional technological performance are expected. However, previous empirical work is inconsistent in supporting this interdependency.
This study aims to examine the effects of sectoral agglomeration on innovative activities in East-German regions. For this purpose, spatially concentrated industries are identified and included in the estimation of regional ‘knowledge-production-functions’. Contrary to expectations, the spatial concentration seems to inhibit the amount of patent-activities of the sector in the specific region. In contrast, positive effects are generated from research facilities. Moreover, we find evidence for intersectoral spillovers.
The results show that for innovative activities, urbanization effects have a higher relevance as localization effects. So far, spatially concentrated industries are not an innovation driver in East Germany.
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Evaluating the German (New Keynesian) Phillips Curve
Rolf Scheufele
IWH Discussion Papers,
No. 10,
2008
Abstract
This paper evaluates the New Keynesian Phillips Curve (NKPC) and its hybrid
variant within a limited information framework for Germany. The main interest rests on the average frequency of price re-optimization of firms. We use the labor income share as the driving variable and consider a source of real rigidity by allowing for a fixed firm-specific capital stock. A GMM estimation strategy is employed as well as an identification robust method that is based upon the Anderson-Rubin statistic. We find out that the German Phillips Curve is purely forward looking. Moreover, our point estimates are consistent with the view that firms re-optimize prices every two to three quarters. While these estimates seem plausible from an economic point of view, the uncertainties around these estimates are very large and also consistent with perfect nominal price rigidity where firms never re-optimize prices. This analysis also offers some explanations why previous results for the German NKPC based on GMM differ considerably. First, standard GMM results are very sensitive to the way how orthogonality conditions are formulated. Additionally, model misspecifications may be left undetected by conventional J tests. Taken together, this analysis points out
the need for identification robust methods to get reliable estimates for the NKPC.
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Das makroökonometrische Modell des IWH: Eine angebotsseitige Betrachtung
Rolf Scheufele
IWH Discussion Papers,
No. 9,
2008
Abstract
This paper describes the IWH macroeconometric model, a quarterly structural model for the German Economy. It focuses on the specification and estimation on supply-side aspects of the model. This approach guarantees a theoretical derived long-run model equilibrium. It combines short-run forecasting requirements with a long-run theoretical foundation. For some macroeconomic aggregates short- and long-run effects of supply- and demand shocks are illustrated. Additionally, effects of external shocks are investigated through model simulations to illustrate aggregate model characteristics.
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Alterung und technologisches Innovationspotential. Eine Linked Employer-Employee Analyse
Lutz Schneider
Zeitschrift für Bevölkerungswissenschaft,
No. 1,
2008
Abstract
Growth in advanced economies is essentially driven by innovation activities. The question rises from a demographic point of view as to whether the trend of an ageing workforce will affect the innovation capacities of these economies. To answer this question, the paper examines on the basis of a German linked-employer-employee-dataset whether an older workforce lowers a firm’s potential to generate product innovations. The empirical approach is based on an Ordered-logit regression model, relating a firm’s innovation potential to the age composition of its employees. The analysis provides evidence of significant age effects. The estimated age-innovation-profile follows an inverted U-shaped pattern, it peaks at the age of about 40 years. A separate estimation shows that technicians and engineers age seems to be particularly relevant.
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