Distance Functions for Matching in Small Samples
Eva Dettmann, Christian Schmeißer, Claudia Becker
Computational Statistics & Data Analysis,
No. 5,
2011
Abstract
The development of ‘standards’ for the application of matching algorithms in empirical evaluation studies is still an outstanding goal. The first step of the matching procedure is the choice of an appropriate distance function. In empirical evaluation situations often the sample sizes are small. Moreover, they consist of variables with different scale levels which have to be considered explicitly in the matching process. A simulation is performed which is directed towards these empirical challenges and supplements former studies in this respect. The choice of the analysed distance functions is determined by the results of former theoretical studies and recommendations in the empirical literature. Thus, two balancing scores (the propensity score and the index score) and the Mahalanobis distance are considered. Additionally, aggregated statistical distance functions not yet used for empirical evaluation are included. The matching outcomes are compared using non-parametric scale-specific tests for identical distributions of the characteristics in the treatment and the control groups. The simulation results show that, in small samples, aggregated statistical distance functions are the better choice for summarising similarities in differently scaled variables compared to the commonly used measures.
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The Term Structure of Banking Crisis Risk in the United States: A Market Data Based Compound Option Approach
Stefan Eichler, Alexander Karmann, Dominik Maltritz
Journal of Banking and Finance,
No. 4,
2011
Abstract
We use a compound option-based structural credit risk model to estimate banking crisis risk for the United States based on market data on bank stocks on a daily frequency. We contribute to the literature by providing separate information on short-term, long-term and total crisis risk instead of a single-maturity risk measure usually inferred by Merton-type models or barrier models. We estimate the model by applying the Duan (1994) maximum-likelihood approach. A strongly increasing total crisis risk estimated from early July 2007 onwards is driven mainly by short-term crisis risk. Banks that defaulted or were overtaken during the crisis have a considerably higher crisis risk (especially higher long-term risk) than banks that survived the crisis.
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Measuring Regionalized Knowledge Generation and Transfer – A Feasibility Study Using a Multi-layer Approach in the Free State of Saxony
Mirko Titze, Matthias Brachert, Jutta Günther, Michael Schwartz
IWH-Sonderhefte,
No. 5,
2010
Abstract
Mit der zunehmenden Globalisierung wird der Wettbewerb heute auch für die Regionen spürbar. Damit diese den Anschluss an die internationale Weltmarktspitze nicht verlieren, müssen sie über ein leistungsfähiges regionales Innovationssystem verfügen. Gerade mit Blick auf den immer noch bestehenden wirtschaftlichen Nachholbedarf der Neuen Länder kommt der Weiterentwicklung der ostdeutschen Innovationssysteme eine besondere Rolle zu. Hier besteht möglicherweise ein sinnvoller Anknüpfungspunkt für eine nachhaltige Wirtschaftspolitik, indem man das Gedeihen der regionalen Innovationssysteme in den Neuen Ländern durch eine öffentliche Förderung begleitet. Gelingt der Aufbau erfolgreicher Innovationssysteme, ist ein großer Schritt in Richtung internationaler Wettbewerbsfähigkeit getan, was deren Transferabhängigkeit reduziert.
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Exploring the Economic Convergence in the EU New Member States by Using Nonparametric Models
Monica Raileanu Szeles
IWH Discussion Papers,
No. 2,
2011
Abstract
This paper analyzes the process of real economic convergence in the New Member States (NMS) bein g formerly centrally planned economies, using nonparametric methods instead of conventional parametric measurement tools like beta and sigma models. This methodological framework allows the examining of the relative income distribution in different periods of time, the number of modes of the density distribution, the existence of “convergence clubs” in the distribution and the hypothesis of convergence at a single point in time. The modality tests (e.g. the ASH-WARPing procedure) and stochastic kernel are nonparametric techniques used in the empirical part of the study to examine the income distribution in the NMS area. Additionally, random effects panel regressions are used, but only for comparison reasons. The main findings of the paper are the bimodality of the income density distribution over time and across countries, and the presence of convergence clubs in the income distribution from 1995 to 2008. The findings suggest a lack of absolute convergence in the long term (1995-2008) and also when looking only from 2003 onwards. The paper concludes that, in comparison with the parametrical approach, the nonparametric one gives a deeper, real and richer perspective on the process of real convergence in the NMS area.
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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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Regional Entrepreneurial Opportunities in the Biotech Industry: Exploring the Transition from Award-winning Nascent Entrepreneurs to Real Start-ups
H. Wolf, Claus Michelsen, Michael Schwartz
Abstract
Knowledge of factors that determine the transition from nascent entrepreneurship into real entrepreneurship is of major importance for policies aiming to effectively stimulate start-ups. Whereas scholars concentrated on person-specific factors to explain transition probabilities, environmental characteristics have been fairly neglected. Given that entrepreneurship is a strongly localized phenomenon, this paper argues that regional entrepreneurial opportunities are a driving force behind the transition from nascent entrepreneurship to new venture creation. Based on unique data on 103 nascent entrepreneurs in the German biotechnology industry, we empirically assess the importance of regional entrepreneurial opportunities on transition probabilities. Further, we introduce a new
approach to measure nascent entrepreneurship by capturing individuals that actively participate in start-up competitions and have won at least one competition. Controlling for technology and individual characteristics, we find strong support for our hypotheses relating to the significant impact of general regional opportunities, specific regional opportunities and the entrepreneurial environment for the probability of transition from award-winning nascent entrepreneurs to real start-ups.
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Finance and Growth in a Bank-Based Economy: Is It Quantity or Quality that Matters?
Michael Koetter, Michael Wedow
Journal of International Money and Finance,
No. 8,
2010
Abstract
Most finance–growth studies approximate the size of financial systems rather than the quality of intermediation to explain economic growth differentials. Furthermore, the neglect of systematic differences in cross-country studies could drive the result that finance matters. We suggest a measure of bank’s intermediation quality using bank-specific efficiency estimates and focus on the regions of one economy only: Germany. This quality measure has a significantly positive effect on growth. This result is robust to the exclusion of banks operating in multiple regions, controlling for the proximity of financial markets, when distinguishing different banking sectors active in Germany, and when excluding the structurally weaker East from the sample.
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Analyzing Innovation Drivers in the German Laser Industry: the Role of Positioning in the Social and Geographical Space
Muhamed Kudic, Peter Bönisch, Iciar Dominguez Lacasa
Abstract
Empirical and theoretical contributions provide strong evidence that firm-level performance outcomes in terms of innovativeness can either be determined by the firm’s position in the social space (network effects) or by the firm’s position in the geographical space (co-location effects). Even though we can observe quite recently first attempts in bringing together these traditionally distinct research streams (Whittington et al. 2009), research on interdependent network and geographical co-location effects is still rare. Consequently, we seek to answer the following research question: considering that the effects of social and geographic proximity on firm’s innovativeness can be interdependent, what are the distinct and combined effects of firm’s network and geographic position on firm-level innovation output? We analyze the innovative performance of German laser source manufacturers between 1995 and 2007. We use an official database on publicly funded R&D collaboration projects in order to construct yearly networks and analyze firm’s network positions. Based on information on population entries and exits we calculate various types of geographical proximity measures between private sector and public research organizations (PRO). We use patent grants as dependent variable in order to measure firm-level innovation output. Empirical results provide evidence for distinct effect of network degree centrality. Distinct effect of firm’s geographical co-location to laser-related public research organization promotes patenting activity. Results on combined network and co-location effects confirms partially the existence of in-terdependent proximity effects, even though a closer look at these effects reveals some ambiguous but quite interesting findings.
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Environmental Protection and the Private Provision of International Public Goods
Martin Altemeyer-Bartscher, Dirk T. G. Rübbelke, E. Sheshinski
Economica,
2010
Abstract
International environmental protection like the combat of global warming exhibits properties of public goods. In the international arena, no coercive authority exists that can enforce measures to overcome free-rider incentives. Therefore decentralized negotiations between individual regions serve as an approach to pursue efficient international environmental protection. We propose a scheme which is based on the ideas of Coasean negotiations and Pigouvian taxes. The negotiating entities offer side-payments to counterparts in order to influence their taxation of polluting consumption. Side-payments, in turn, are self-financed by means of externality-correcting taxes. As we show, a Pareto-efficient outcome can be attained.
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