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Mindestlohnbeschäftigte: Dienstleister für den privaten Konsum oder Teilhaber am Exporterfolg? Ergebnisse einer Input-Output-Analyse
Hans-Ulrich Brautzsch, Birgit Schultz
Wirtschaftsdienst, No. 1, 2019
Abstract
Im Jahr 2014 waren mehr als 38 Mio. Personen in Deutschland als Arbeitnehmer beschäftigt. Sie produzierten vor allem Güter für den Konsum, für Investitionen in Ausrüstungen und Bauten sowie den Export, aber auch Vorleistungsgüter, die als Bestandteil der Wertschöpfungsketten indirekt in deren Entstehung eingingen. Hier ist wirtschafts- und lohnpolitisch interessant, in welchen quantitativen Verhältnissen der Einsatz der Beschäftigten in der Vorleistungsgüterproduktion zur Endverwendung im Wirtschaftskreislauf steht. Dieses Interesse richtet sich nicht nur auf die Personenzahl, sondern im Besonderen auch auf deren Entlohnung. Ein Augenmerk liegt dabei bei den Beschäftigten, deren Löhne 2014 dem Mindestlohn 2015 (8,50 Euro) entsprachen.
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Industrial Relations: Worker Codetermination and Collective Wage Bargaining
Steffen Müller, Claus Schnabel
Jahrbücher für Nationalökonomie und Statistik, No. 1, 2019
Abstract
Trade unions and employers’ associations, collective bargaining, and employee representation at the workplace are the cornerstones of industrial relations systems in many developed countries. Germany stands out as a country with powerful works councils and a high coverage rate of collective bargaining agreements, supported by encompassing interest groups of employees and employers and by the state. The German case and the perceived stability of its industrial relations regime have attracted considerable attention among researchers and politicians, which also has to do with the country’s high productivity, comparably few strikes, and relatively minor employment problems. However, in recent years industrial relations in many countries including Germany have come under pressure and the fact that there is no obvious and clearly superior alternative to the current regime of industrial and labour relations may not be sufficient to guarantee the survival of the present system.
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An Evaluation of Early Warning Models for Systemic Banking Crises: Does Machine Learning Improve Predictions?
Johannes Beutel, Sophia List, Gregor von Schweinitz
IWH Discussion Papers, No. 2, 2019
published in:
Journal of Financial Stability
Abstract
This paper compares the out-of-sample predictive performance of different early warning models for systemic banking crises using a sample of advanced economies covering the past 45 years. We compare a benchmark logit approach to several machine learning approaches recently proposed in the literature. We find that while machine learning methods often attain a very high in-sample fit, they are outperformed by the logit approach in recursive out-of-sample evaluations. This result is robust to the choice of performance measure, crisis definition, preference parameter, and sample length, as well as to using different sets of variables and data transformations. Thus, our paper suggests that further enhancements to machine learning early warning models are needed before they are able to offer a substantial value-added for predicting systemic banking crises. Conventional logit models appear to use the available information already fairly effciently, and would for instance have been able to predict the 2007/2008 financial crisis out-of-sample for many countries. In line with economic intuition, these models identify credit expansions, asset price booms and external imbalances as key predictors of systemic banking crises.
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Do Diasporas Affect Regional Knowledge Transfer within Host Countries? A Panel Analysis of German R&D Collaborations
Lutz Schneider, Alexander Kubis, Mirko Titze
Regional Studies, No. 1, 2019
Abstract
Interactive regional learning involving various actors is considered a precondition for successful innovations and, hence, for regional development. Diasporas as non-native ethnic groups are regarded as beneficial since they enrich the creative class by broadening the cultural base and introducing new routines. Using data on research and development (R&D) collaboration projects, the analysis provides tentative evidence that the size of diasporas positively affects the region’s share of outward R&D linkages enabling the exchange of knowledge. The empirical analysis further confirms that these interactions mainly occur between regions hosting the same diasporas, pointing to a positive effect of ethnic proximity rather than ethnic diversity.
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Identifying Cooperation for Innovation – A Comparison of Data Sources
Michael Fritsch, Matthias Piontek, Mirko Titze
IWH Discussion Papers, No. 1, 2019
published in:
Industry and Innovation
Abstract
The value of social network analysis is critically dependent on the comprehensive and reliable identification of actors and their relationships. We compare regional knowledge networks based on different types of data sources, namely, co-patents, co-publications, and publicly subsidised collaborative Research and Development projects. Moreover, by combining these three data sources, we construct a multilayer network that provides a comprehensive picture of intraregional interactions. By comparing the networks based on the data sources, we address the problems of coverage and selection bias. We observe that using only one data source leads to a severe underestimation of regional knowledge interactions, especially those of private sector firms and independent researchers. The key role of universities that connect many regional actors is identified in all three types of data.
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Too Connected to Fail? Inferring Network Ties from Price Co-movements
Jakob Bosma, Michael Koetter, Michael Wedow
Journal of Business and Economic Statistics, No. 1, 2019
Abstract
We use extreme value theory methods to infer conventionally unobservable connections between financial institutions from joint extreme movements in credit default swap spreads and equity returns. Estimated pairwise co-crash probabilities identify significant connections among up to 186 financial institutions prior to the crisis of 2007/2008. Financial institutions that were very central prior to the crisis were more likely to be bailed out during the crisis or receive the status of systemically important institutions. This result remains intact also after controlling for indicators of too-big-to-fail concerns, systemic, systematic, and idiosyncratic risks. Both credit default swap (CDS)-based and equity-based connections are significant predictors of bailouts. Supplementary materials for this article are available online.
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Trust in Banks
Zuzana Fungáčová, Iftekhar Hasan, Laurent Weill
Journal of Economic Behavior and Organization, 2019
Abstract
Trust in banks is considered essential for an effective financial system, yet little is known about what determines trust in banks. Only a handful of single-country studies discuss the topic, so this paper aims to fill the gap by providing a cross-country analysis on the level and determinants of trust in banks. Using World Values Survey data covering 52 countries during the period 2010–2014, we observe large cross-country differences in trust in banks and confirm the influence of several sociodemographic indicators. Our main findings include: women tend to trust banks more than men; trust in banks tends to increase with income, but decrease with age and education; and access to television enhances trust, while internet access erodes trust. Additionally, religious, political, and economic values affect trust in banks. Notably, religious individuals tend to put greater trust in banks, but differences are observed across denominations. The holding of pro-market economic views is also associated with greater trust in banks.
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The Case for a European Rating Agency: Evidence from the Eurozone Sovereign Debt Crisis
Marc Altdörfer, Carlos A. De las Salas Vega, Andre Guettler, Gunter Löffler
Journal of International Financial Markets, Institutions and Money, 2019
Abstract
Politicians frequently voice that European bond issuers would benefit from the presence of a Europe-based rating agency. We take Fitch as a prototype for such an agency. With its ownership structure and a headquarter in London, Fitch is more European than Moody’s and S&P; during the Eurozone sovereign debt crisis, it also issued more favorable ratings. Fitch’s rating actions, however, were largely ignored by the bond market. Our results thus cast doubt on the benefits of a European credit rating agency.
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Senior Debt and Market Discipline: Evidence from Bank-to-bank Loans
Bill Francis, Iftekhar Hasan, Liuling Liu, Haizhi Wang
Journal of Banking and Finance, 2019
Abstract
We empirically investigate whether taking senior bank loans would enhance market discipline and control risk-taking among borrowing banks. Controlling for endogeneity concern arising from borrowing bank self-select into taking senior bank debt, we document that both the spreads and covenants in loan contracts are sensitive to bank risk variables. Our analysis also reveals that borrowing banks reduce their risk exposure after their first issuance of senior bank debt. We also find that lending banks significantly increase their collaboration with borrowing banks and increase their presence in the home markets of borrowing banks.
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For How Long Do IMF Forecasts of World Economic Growth Stay Up-to-date?
Katja Heinisch, Axel Lindner
Applied Economics Letters, No. 3, 2019
Abstract
This study analyses the performance of the International Monetary Fund (IMF) World Economic Outlook output forecasts for the world and for both the advanced economies and the emerging and developing economies. With a focus on the forecast for the current year and the next year, we examine the durability of IMF forecasts, looking at how much time has to pass so that IMF forecasts can be improved by using leading indicators with monthly updates. Using a real-time data set for GDP and for indicators, we find that some simple single-indicator forecasts on the basis of data that are available at higher frequency can significantly outperform the IMF forecasts as soon as the publication of the IMF’s Outlook is only a few months old. In particular, there is an obvious gain using leading indicators from January to March for the forecast of the current year.
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