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Endogenous Selection of Comparison Groups, Human Capital Formation, and Tax Policy

Oded Stark, Walter Hyll, Y. Wang
Economica, No. 313, 2012
Abstract
We consider a setting in which the acquisition of human capital entails a change of location in social space that causes individuals to revise their comparison groups. Skill levels are viewed as occupational groups. Moving up the skill ladder by acquiring additional human capital, in itself rewarding, leads to a shift in the individual’s inclination to compare himself with a different, and on average better-paid, comparison group, in itself penalizing. We shed new light on the dynamics of human capital formation, and suggest novel policy interventions to encourage human capital formation in the aggregate and reduce inter-group income inequality.
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Inflation and Relative Price Variability in the Euro Area: Evidence from a Panel Threshold Model

Dieter Nautz, Juliane Scharff
Applied Economics, No. 4, 2012
Abstract
The impact of inflation on Relative Price Variability (RPV) generates an important channel for real effects of inflation. This article provides first evidence on the empirical relation between inflation and RPV in the euro area. Stirred by the widespread use of inflation caps or target bands in monetary policy practice, we are particularly interested in threshold effects of inflation. In line with the predictions of monetary search models, our results indicate that expected inflation significantly increases RPV only if inflation is either very low (below 0.95% per annum (p.a.)) or very high (above 4.96% p.a.).
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Stochastic Income Statement Planning as a Basis for Risk Assessment in the Context of Emissions Trading

Henry Dannenberg, Wilfried Ehrenfeld
Greenhouse Gas Measurement and Management, No. 1, 2011
Abstract
Die Einführung des Europäischen Emissionshandels bedeutet, dass teilnehmende Unternehmen einen neuen Unsicherheitsfaktor bei ihrer Planung zu berücksichtigen haben - Emissionszertifikate. In diesem Artikel untersuchen wir, wie dieses Risiko um Rahmen einer stochastischen Plan- Gewinn- und Verlustrechnung (GuV) berücksichtige werden kann. Dafür erkunden wir welche Plangrößen durch den Emissionshandel beeinflusst werden. Weiter zeigen wir einen Ansatz, diese Größen in einer Plan-GuV zu modellieren. Dabei werden Unsicherheiten und Abhängigkeiten explizit berücksichtigt. Deshalb stellt das vorgestellte Modell eine Basis für Risikobewertungen und Investitionsentscheidungen im unsicheren Umfeld des CO2-Zertifikatehandels dar.
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Knowledge Sharing Through Informal Networking: An Overview and Agenda

Michael Schwartz, Christoph Hornych
International Journal of Knowledge-Based Development, No. 3, 2011
Abstract
Informal inter-organizational networks provide manifold opportunities to organize the transfer of information, knowledge and technology between actors. The importance of informal networks as a channel of knowledge transfer is widely acknowledged by academics and practitioners. However, there is a significant lack of discussion on their theoretical foundations and systematic empirical research on the origins, dynamics and effects of informal networking. The objective of this paper is threefold. First, we review the fragmented academic discussion of the notion of informal networking, thereby focusing on how these relationships emerge initially and what conditions (presumably) are required to make them a mutually fruitful and sustainable channel of the transfer of information and knowledge. Second, we give an up-to-date overview over most important and recent studies trying to disentangle the mechanisms of inter-organizational informal networking. Finally, we outline an agenda of future research directions which we encourage researchers to pursue in future empirical studies. Overall, six important research gaps are identified.
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Exchange Rate Expectations and the Pricing of Chinese Cross-listed Stocks

Stefan Eichler
Journal of Banking and Finance, No. 2, 2011
Abstract
I show that the price discounts of Chinese cross-listed stocks (American Depositary Receipts (ADRs) and H-shares) to their underlying A-shares indicate the expected yuan/US dollar exchange rate. The forecasting models reveal that ADR and H-share discounts predict exchange rate changes more accurately than the random walk and forward exchange rates, particularly at long forecast horizons. Using panel estimations, I find that ADR and H-share investors form their exchange rate expectations according to standard exchange rate theories such as the Harrod–Balassa–Samuelson effect, the risk of competitive devaluations, relative purchasing power parity, uncovered interest rate parity, and the risk of currency crisis.
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Currency Crises and the Stock Market: Empirical Evidence for Another Type of Twin Crisis

Stefan Eichler, Dominik Maltritz
Applied Economics, No. 29, 2011
Abstract
We explore the dependency between currency crises and the stock market in emerging economies. Our focus is two-fold. First, the risk of a currency crisis rises as the foreign stake in the domestic stock market increases. Successful economies with high capital flows into their booming stock markets especially are prone to stock market-induced currency crises. Second, we apply the dividend growth model to show that stock markets crash in the run-up to a currency crisis. This new type of twin crisis is empirically tested by employing a logit framework using quarterly data for 33 emerging economies for 1994Q1–2007Q4.
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Handling Losses in Translog Profit Models

J. W. B. Bos, Michael Koetter
Applied Economics, No. 3, 2011
Abstract
In this article, we compare standard approaches used to handle losses in logarithmic profit models with a simple novel approach. We estimate translog stochastic profit frontiers, and discuss discriminatory power, rank stability and the precision of Profit Efficiency (PE) scores. Contrary to existing methods, our approach does not result in a loss of observations. Our new method enhances rank stability and discriminatory power, and improves the precision of PE scores.
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The Identification of Regional Industrial Clusters Using Qualitative Input-Output Analysis (QIOA)

Mirko Titze, Matthias Brachert, Alexander Kubis
Regional Studies, No. 1, 2011
Abstract
The 'cluster theory' has become one of the main concepts promoting regional competitiveness, innovation, and growth. As most empirical applications focus on measures of concentration of one industrial branch in order to identify regional clusters, the appropriate analysis of specific vertical relations is developing in this discussion. This paper tries to identify interrelated sectors via national input-output tables with the help of minimal flow analysis (MFA). The regionalization of these national industry templates is carried out with the allocation of branch-specific production values on regional employment. As a result, the paper shows concentrations of vertical clusters in only 27 of 439 German Nomenclature des Units Territoriales Statistiques (NUTS)-3 regions.
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Identifying Industrial Clusters from a Multidimensional Perspective: Methodical Aspects with an Application to Germany

Matthias Brachert, Mirko Titze, Alexander Kubis
Papers in Regional Science, No. 2, 2011
Abstract
If regional development agencies assume the cluster concept to be an adequate framework to promote regional growth and competitiveness, it is necessary to identify industrial clusters in a comprehensive manner. Previous studies used a diversity of methods to identify the predominant concentrations of economic activity in one industrial sector in a region. This paper is based on a multidimensional approach developed by Titze et al. With the help of the combination of concentration measures and input–output methods they were able to identify horizontal and vertical dimensions of industrial clusters. This paper aims to refine this approach by using a superior measure of spatial concentration and by integrating information about spatial interdependence of industrial cluster structures to contribute to a more adequate framework for industrial cluster identification.
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Economic Structure and Regional Performance in Germany, 2002-2007

Alexander Kubis, Matthias Brachert, Mirko Titze
European Planning Studies, No. 2, 2012
Abstract
This paper explores the impact of industrial clusters on regional growth at the German labour market region level using a regional convergence model. Based on the results of an exploratory study of the geography of German industrial clusters, we are able to differentiate the impact of industrial clustering from a horizontal and a vertical perspective while taking regional convergence into consideration. The results indicate that in addition to an all-German process of convergence, a specific East German one can be identified. The different types of industrial clusters show mixed effects within this framework. While vertically isolated industrial clusters have a negative impact on regional growth in this period, positive growth effects can be identified when industrial clusters show an intra-regional vertical interconnectedness.
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