Geoadditive Models for Regional Count Data: An Application to Industrial Location
Davide Castellani
ERSA conference papers,
2012
Abstract
We propose a geoadditive negative binomial model (Geo-NB-GAM) for regional count data which allows us to simultaneously address some important methodological issues, such as spatial clustering, nonlinearities and overdispersion. We apply this model to study location determinants of inward greenfield investments occurred over the 2003-2007 period in 249 European regions. The inclusion of a geoadditive component (a smooth spatial trend surface) permits us to control for spatial unobserved heterogeneity which induces spatial clustering. Allowing for nonlinearities reveals, in line with theoretical predictions, that the positive effect of agglomeration economies fades as the density of economic activities reaches some limit value. However, no matter how dense the economic activity becomes, our results suggest that congestion costs would never overcome positive agglomeration externalities.
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Islamic Finance in Europe
Pierluigi Caristi, Stéphane Couderc, Angela di Maria, Filippo di Mauro, Beljeet Kaur Grewal, Lauren Ho, Sergio Masciantonio, Steven Ongena, Sajjad Zaher
ECB Occasional Paper,
No. 146,
2013
Abstract
Islamic finance is based on ethical principles in line with Islamic religious law. Despite its low share of the global financial market, Islamic finance has been one of this sector's fastest growing components over the last decades and has gained further momentum in the wake of the financial crisis. The paper examines the development of and possible prospects for Islamic finance, with a special focus on Europe. It compares Islamic and conventional finance, particularly as concerns risks associated with the operations of respective institutions, as well as corporate governance. The paper also analyses empirical evidence comparing Islamic and conventional financial institutions with regard to their: (i) efficiency and profitability; and (ii) stability and resilience. Finally, the paper considers the conduct of monetary policy in an Islamic banking context. This is not uncomplicated given the fact that interest rates - normally a cornerstone of monetary policy - are prohibited under Islamic finance. Liquidity management issues are thus discussed here, with particular reference to the euro area.
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Has the Euro Increased International Price Elasticities?
Oliver Holtemöller, Götz Zeddies
Empirica,
No. 1,
2013
Abstract
The introduction of the Euro has been accompanied by the hope that international competition between EMU member states would increase due to higher price transparency. This paper contributes to the literature by analyzing price elasticities in international trade flows between Germany and France and between Germany and the United Kingdom before and after the introduction of the Euro. Using disaggregated Eurostat trade statistics, we adopt a heterogeneous dynamic panel framework for the estimation of price elasticities. We suggest a Kalman-filter approach to control for unobservable quality changes which otherwise would bias estimates of price elasticities. We divide the complete sample, which ranges from 1995 to 2008, into two sub-samples and show that price elasticities in trade between EMU members did not change substantially after the introduction of the Euro. Hence, we do not find evidence for an increase in international price competition resulting from EMU.
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Testing for Structural Breaks at Unknown Time: A Steeplechase
Makram El-Shagi, Sebastian Giesen
Computational Economics,
No. 1,
2013
Abstract
This paper analyzes the role of common data problems when identifying structural breaks in small samples. Most notably, we survey small sample properties of the most commonly applied endogenous break tests developed by Brown et al. (J R Stat Soc B 37:149–163, 1975) and Zeileis (Stat Pap 45(1):123–131, 2004), Nyblom (J Am Stat Assoc 84(405):223–230, 1989) and Hansen (J Policy Model 14(4):517–533, 1992), and Andrews et al. (J Econ 70(1):9–38, 1996). Power and size properties are derived using Monte Carlo simulations. We find that the Nyblom test is on par with the commonly used F type tests in a small sample in terms of power. While the Nyblom test’s power decreases if the structural break occurs close to the margin of the sample, it proves far more robust to nonnormal distributions of the error term that are found to matter strongly in small samples although being irrelevant asymptotically for all tests that are analyzed in this paper.
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Stale Information, Shocks, and Volatility
Reint E. Gropp, A. Kadareja
Journal of Money, Credit and Banking,
No. 6,
2012
Abstract
We propose a new approach to measuring the effect of unobservable private information on volatility. Using intraday data, we estimate the effect of a well-identified shock on the volatility of stock returns of European banks as a function of the quality of public information available about the banks. We hypothesize that as publicly available information becomes stale, volatility effects and its persistence increase, as private information of investors becomes more important. We find strong support for this idea in the data. We further show that stock volatility is higher just before important announcements if information is stale.
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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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Fiscal Spending Multiplier Calculations Based on Input-Output Tables? An Application to EU Member States
Toralf Pusch
Intervention. European Journal of Economics and Economic Policies,
No. 1,
2012
Abstract
Fiscal spending multiplier calculations have attracted considerable attention in the aftermath of the global financial crisis. Much of the current literature is based on VAR estimation methods and DSGE models. In line with the Keynesian literature we argue that many of these models probably underestimate the fiscal spending multiplier in recessions. The income-expenditure model of the fiscal spending multiplier can be seen as a good approximation under these circumstances. In its conventional form this model suffers from an underestimation of the multiplier due to an overestimation of the import intake of domestic absorption. In this article we apply input-output calculus to solve this problem. Multipliers thus derived are comparably high, ranging between 1.4 and 1.8 for many member states of the European Union. GDP drops due to budget consolidation might therefore be substantial in times of crisis.
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Regionale Unterschiede der Kooperationsmuster der deutschen Photovoltaik-Industrie
Christoph Hornych
Wirtschaft im Wandel,
No. 12,
2011
Abstract
Der Beitrag analysiert das Kooperationsgeschehen in der deutschen Photovoltaik-Industrie. Ausgehend von den theoretischen Vorteilen, die Kooperationen in stadt- und regionalökonomischen Ansätzen zugeschrieben werden, wird geprüft, inwieweit die tatsächlich bestehenden Kooperationsmuster in den verschiedenen Bundesländern den aus theoretischer Sicht günstigen Kooperationsmustern entsprechen. Hierzu erfolgt eine vergleichende Beschreibung der Kooperationsstrukturen der Industrie in und zwischen den einzelnen Bundesländern. Die Untersuchung basiert auf der „IWH-Unternehmensdatenbank Photovoltaik“, die u. a. Informationen zu den Kooperationsbeziehungen zwischen den in der Datenbank enthaltenen Unternehmen und öffentlichen Forschungseinrichtungen enthält. Die Ergebnisse zeigen, dass sich die Kooperationsintensitäten in und zwischen den Bundesländern deutlich voneinander unterscheiden. Dabei sind insbesondere die mitteldeutschen Bundesländer Sachsen, Sachsen- Anhalt und Thüringen durch eine starke gegenseitige und deutschlandweite Vernetzung gekennzeichnet. Hingegen sind die Akteure in der Region Berlin-Brandenburg, die ähnlich wie Mitteldeutschland durch eine hohe
Konzentration an Photovoltaikunternehmen gekennzeichnet ist, deutlich weniger in Netzwerkstrukturen eingebunden.
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