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Banks' financial distress, lending supply and consumption expenditure : [version december 2013]
(2014)
The paper employs a unique identification strategy that links survey data on household consumption expenditure to bank level data in order to estimate the effects of bank financial distress on consumer credit and consumption expenditures. Specifically, we show that households whose banks were more exposed to funding shocks report significantly lower levels of non-mortgage liabilities compared to a matched sample of households. The reduced access to credit, however, does not result in lower levels of consumption. Instead, we show that households compensate by drawing down liquid assets. Only households without the ability to draw on liquid assets reduce consumption. The results are consistent with consumption smoothing in the face of a temporary adverse lending supply shock. The results contrast with recent evidence on the real effects of finance on firms' investment, where even temporary adverse credit supply shocks are associated with significant real effects.
Inflation differentials in the euro area have been persistent since the adoption of the single currency. This paper analyzes the impact of product and labor market regulation on inflation in a sample of 11 countries. The results show that, after the adoption of the euro, product market deregulation has a relevant and significant effect on the level of inflation, while higher labor market regulation increases the responsiveness of inflation to the output gap.
We propose an iterative procedure to efficiently estimate models with complex log-likelihood functions and the number of parameters relative to the observations being potentially high. Given consistent but inefficient estimates of sub-vectors of the parameter vector, the procedure yields computationally tractable, consistent and asymptotic efficient estimates of all parameters. We show the asymptotic normality and derive the estimator's asymptotic covariance in dependence of the number of iteration steps. To mitigate the curse of dimensionality in high-parameterized models, we combine the procedure with a penalization approach yielding sparsity and reducing model complexity. Small sample properties of the estimator are illustrated for two time series models in a simulation study. In an empirical application, we use the proposed method to estimate the connectedness between companies by extending the approach by Diebold and Yilmaz (2014) to a high-dimensional non-Gaussian setting.
Even though fiscal sovereignty still counts as a fundamental principle of government, global and regional economic integration as well as increasing levels of sovereign debt severely limit governments’ tax policy choices. In particular the redistributive function of taxation has suffered in the pursuit of economic competitiveness. As inequality rises and attention is directed again at taxation as a means for redistribution, international cooperation appears as an avenue to enable redistribution through taxation. Yet, one of the predominant international institutions dealing with tax matters – the OECD – with its focus on economic growth and competitiveness and resulting tax policy advice prevents rather than promotes national and international debates on taxation as a question of social justice. The paper argues that questions of taxation need to be perceived as questions of social justice and thus as questions of politics, and not merely of economics. Only if taxation is not considered a mere economic instrument can a ‘political economy’ be maintained. The paper addresses the three objectives of taxation – revenue generation, redistribution and regulation -- and how they are affected as governments aim for fiscal consolidation to conclude that governments’ power to freely pursue and calibrate these objectives has come to appear rather as a myth than the core of sovereignty. It then demonstrates how the OECD’s tax policy advice and cooperation in tax matters react to the constraints on governmental taxation powers; how they aim at economic growth and competitiveness to the detriment of (other) ideas of social justice. The paper concludes with a call for (re)integrating social and global justice concerns into debates on taxation.
The article introduces a research project financed by the Academy of Sciences and Literature Mainz began in 2013 and will extend over an 18-year period. It aims at producing a historical-semantic dictionary elucidating central terms of the School of Salamanca's discourses and their significance for modern political theory and jurisprudence. The project's fundament will be a digital corpus of important texts from the School of Salamanca which will be linked up with the dictionary's online version. By making the source corpus accessible in searchable full text (as well as in high quality digital images), the project is creating a new research tool with exciting possibilities for further investigations. The dictionary will be a valuable source of information for the interdisciplinary research carried out in this field.
In this paper, we propose a novel approach on how to estimate systemic risk and identify its key determinants. For all US financial companies with publicly traded equity options, we extract their option-implied value-at-risks (VaRs) and measure the spillover effects between individual company VaRs and the option-implied VaR of an US financial index. First, we study the spillover effect of increasing company risks on the financial sector. Second, we analyze which companies are most affected if the tail risk of the financial sector increases. We find that key accounting and market valuation metrics such as size, leverage, balance sheet composition, market-to-book ratio and earnings have a significant influence on the systemic risk profile of a financial institution. In contrast to earlier studies, the employed panel vector autoregression (PVAR) estimator allows for a causal interpretation of the results.