Macroeconomic Imbalances as Indicators for Debt Crises in Europe
Tobias Knedlik, Gregor von Schweinitz
Journal of Common Market Studies,
No. 5,
2012
Abstract
European authorities and scholars published proposals on which indicators of macroeconomic imbalances might be used to uncover risks for the sustainability of public debt in the European Union. We test the ability of four proposed sets of indicators to send early-warnings of debt crises using a signals approach for the study of indicators and the construction of composite indicators. We find that a broad composite indicator has the highest predictive power. This fact still holds true if equal weights are used for the construction of the composite indicator in order to reflect the uncertainty about the origin of future crises.
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What Drives Banking Sector Fragility in the Eurozone? Evidence from Stock Market Data
Stefan Eichler, Karol Sobanski
Journal of Common Market Studies,
No. 4,
2012
Abstract
This article explores the determinants of banking sector fragility in the eurozone. For this purpose, a stock-market-based banking sector fragility indicator is calculated for eight member countries from 1999 to 2009 using the Merton model (1974). Using a panel framework, it is found that the macroeconomic environment, the structure of the banking sector and the intensity of banking regulation all have an effect on banking sector fragility in the eurozone.
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Effects of Entrepreneurship Education at Universities
S. Laspita, H. Patzelt, Viktor Slavtchev
Jena Economic Research Papers,
No. 25,
2012
Abstract
This study analyzes the impact of entrepreneurship education at universities on the intentions of students to become entrepreneurs or self-employed in the short-term (immediately after graduation) and in the long-term (five years after graduation). A difference-in-differences approach is applied that relates changes in entrepreneurial intentions to changes in the attendance of entrepreneurship classes in the same period. To account for a potential bias due to self-selection into entrepreneurship classes, only individuals having no prior entrepreneurial intentions are analyzed. Our results indicate a stimulating effect of entrepreneurship education on students’ intentions to become entrepreneurs or self-employed in the long-term but a discouraging effect on their intentions in the short-term. These results support the conjecture that entrepreneurship education provides more realistic perspectives on what it takes to be an entrepreneur, resulting in ‘sorting’. Overall, the results indicate that entrepreneurship education may improve the quality of labor market matches, the allocation of resources and talent, and increase social welfare. Not distinguishing between short- and long-term intentions may lead to misleading conclusions regarding the economic and social impact of entrepreneurship education.
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Predicting Financial Crises: The (Statistical) Significance of the Signals Approach
Makram El-Shagi, Tobias Knedlik, Gregor von Schweinitz
Abstract
The signals approach as an early warning system has been fairly successful in detecting crises, but it has so far failed to gain popularity in the scientific community because it does not distinguish between randomly achieved in-sample fit and true predictive power. To overcome this obstacle, we test the null hypothesis of no correlation between indicators and crisis probability in three applications of the signals approach to different crisis types. To that end, we propose bootstraps specifically tailored to the characteristics of the respective datasets. We find (1) that previous applications of the signals approach yield economically meaningful and statistically significant results and (2) that composite
indicators aggregating information contained in individual indicators add value to the signals approach, even where most individual indicators are not statistically significant on their own.
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The Financial Crisis from a Forecaster's Perspective
Katja Drechsel, Rolf Scheufele
Kredit und Kapital,
No. 1,
2012
Abstract
This paper analyses the recession in 2008/2009 in Germany. This recession is very different from previous recessions in particular regarding their causes and magnitude. We show to what extent forecasters and forecasts based on leading indicators fail to detect the timing and the magnitude of the recession. This study shows that large forecast errors for both expert forecasts and forecasts based on leading indicators resulted during this recession which implies that the recession was very difficult to forecast. However, some leading indicators (survey data, risk spreads, stock prices) have indicated an economic downturn and hence, beat univariate time series models. Although the combination of individual forecasts provides an improvement compared to the benchmark model, the combined forecasts are worse than several individual models. A comparison of expert forecasts withthe best forecasts based on leading indicators shows only minor deviations. Overall, the range for an improvement of expert forecasts in the crisis compared to indicator forecasts is small.
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How does Institutional Setting Affect the Impact of EU Structural Funds on Economic Cohesion? New Evidence from Central and Eastern Europe
Marina Grusevaja, Toralf Pusch
Abstract
Structural Funds are the main instrument of the EU cohesion policy. Their effective use is subject to an ongoing debate in political and scientific circles. European fiscal assistance under this heading should promote economic and social cohesion in the member states of the European Union. Recently, the domestic institutional capacity to absorb, to distribute and to invest Structural Funds effectively has become a crucial determinant of the cohesion process and has attracted attention of the scientific community. The aim of this study is to shed light on the effectiveness of Structural Funds in the countries of the first Central and Eastern European enlargement round in 2004. Using regional data for these countries, we have a look on the impact of several institutional governance variables on the effectiveness of Structural Funds. In the interpretation of results, reference is
made to regional economics. Results of the empirical analysis indicate an influence of certain institutional variables on the effectiveness of Structural Funds in the new member states.
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Macroeconomic Imbalances as Indicators for Debt Crises in Europe
Tobias Knedlik, Gregor von Schweinitz
Wirtschaft im Wandel,
No. 10,
2011
Abstract
Die Schulden- und Vertrauenskrise in Europa hat eine intensive Diskussion über die makroökonomische Koordinierung ausgelöst. Die bestehenden Institutionen, darunter auch der Stabilitäts- und Wachstumspakt, haben sich als Krisenpräventions- und Krisenmanagementinstrumente nicht bewährt. Ein Vorschlag in der gegenwärtigen Debatte lautet, anhand geeigneter Frühindikatoren eine regelmäßige und systematische makroökonomische
Überwachung vorzunehmen, um sich anbahnende Krisen früh erkennen und darauf reagieren zu können. Dieser Beitrag stellt die Prognosegüte von vier vorgeschlagenen Indikatorensets vergleichend dar, wobei sowohl die Güte
von Einzelindikatoren als auch die Güte aggregierter Gesamtindikatoren betrachtet werden. Die verschiedenen Einzelindikatoren weisen eine sehr unterschiedliche Prognosequalität auf, wobei sich neben dem Staatsdefizit
besonders die Arbeitsmarktindikatoren, die private Verschuldung und der Leistungsbilanzsaldo durch eine hohe Prognosegüte auszeichnen. Unter den Gesamtindikatoren schneiden besonders jene gut ab, die sowohl viele unterschiedliche als auch besonders gute Einzelindikatoren beinhalten. Deshalb wird für den Einsatz eines breit basierten Gesamtindikators bei der makroökonomischen Überwachung plädiert. Dieser sollte zudem aus gleichgewichteten Einzelindikatoren zusammengesetzt sein, um der Tatsache Rechnung zu tragen, dass die Ursachen künftiger Krisen vorab nicht bekannt sind.
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Macroeconomic Imbalances as Indicators for Debt Crises in Europe
Tobias Knedlik, Gregor von Schweinitz
Abstract
European authorities and scholars published proposals on which indicators of macroeconomic imbalances might be used to uncover risks for the sustainability of public debt in the European Union. We test the ability of four proposed sets of indicators to send early-warnings of debt crises using a signals approach for the study of indicators and the construction of composite indicators. We find that a broad composite indicator has the highest predictive power. This fact still holds true if equal weights are used for the construction of the composite indicator in order to reflect the uncertainty about the origin of future crises.
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University Cities: Including Universities and Research Institutes into Strategies for Urban Growth
Peter Franz
International Journal of Knowledge-Based Development,
2011
Abstract
The topic of this special issue refers to the observation that many larger and middle-sized cities dispose of a considerable potential of institutions creating and disseminating knowledge. This kind of endowment seems to be especially valuable in an upcoming knowledge-based economy. Recent strategic concepts and inter-city competitions referring to ‘knowledge-based urban development’, ‘knowledge city’, ‘creative city’, ‘science city’ or ‘entrepreneurial university’ indicate that urban planners and politicians are beginning to search for strategies to take advantage and to make use of this potential. The papers in this special issue a) present case studies of cities trying to activate their knowledge resources for local economic growth, b) deal with regulatory barriers and problems for cities applying ‘knowledge city’ strategies, c) analyze the university support for entrepreneurial activities, and d) discuss some implications of ‘knowledge city’ strategies for architecture and urban planning.
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Are Qualitative Inflation Expectations Useful to Predict Inflation?
Rolf Scheufele
Journal of Business Cycle Measurement and Analysis,
No. 1,
2011
Abstract
This paper examines the properties of qualitative inflation expectations collected from economic experts for Germany. It describes their characteristics relating to rationality and Granger causality. An out-of-sample simulation study investigates whether this indicator is suitable for inflation forecasting. Results from other standard forecasting models are considered and compared with models employing survey measures. We find that a model using survey expectations outperforms most of the competing models. Moreover, we find some evidence that the survey indicator already contains information from other model types (e. g. Phillips curve models). However, the forecast quality may be further improved by completely taking into account information from some financial indicators.
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