Identifying Cooperation for Innovation―a Comparison of Data Sources
Michael Fritsch, Mirko Titze, Matthias Piontek
Industry and Innovation,
forthcoming
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 subsidized collaborative R&D 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.
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The Regional Effects of a Place-based Policy – Causal Evidence from Germany
Matthias Brachert, Eva Dettmann, Mirko Titze
Regional Science and Urban Economics,
2019
Abstract
The German government provides discretionary investment grants to structurally weak regions in order to reduce regional inequality. We use a regression discontinuity design that exploits an exogenous discrete jump in the probability of regional actors to receive investment grants to identify the causal effects of the policy. We find positive effects of the programme on district-level gross value-added and productivity growth, but no effects on employment and gross wage growth.
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flexpaneldid: A Stata Command for Causal Analysis with Varying Treatment Time and Duration
Eva Dettmann, Alexander Giebler, Antje Weyh
Abstract
>>A completely revised version of this paper has been published as: Dettmann, Eva; Giebler, Alexander; Weyh, Antje: flexpaneldid. A Stata Toolbox for Causal Analysis with Varying Treatment Time and Duration. IWH Discussion Paper 3/2020. Halle (Saale) 2020.<<
The paper presents a modification of the matching and difference-in-differences approach of Heckman et al. (1998) and its Stata implementation, the command flexpaneldid. The approach is particularly useful for causal analysis of treatments with varying start dates and varying treatment durations (like investment grants or other subsidy schemes). Introducing more flexibility enables the user to consider individual treatment and outcome periods for the treated observations. The flexpaneldid command for panel data implements the developed flexible difference-in-differences approach and commonly used alternatives like CEM Matching and difference-in-differences models. The novelty of this tool is an extensive data preprocessing to include time information into the matching approach and the treatment effect estimation. The core of the paper gives two comprehensive examples to explain the use of flexpaneldid and its options on the basis of a publicly accessible data set.
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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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IWH-Subventionsdatenbank: Mikrodaten zu Programmen direkter Unternehmenssubventionen in Deutschland. Datendokumentation
Matthias Brachert, Alexander Giebler, Gerhard Heimpold, Mirko Titze, Dana Urban-Thielicke
IWH Technical Reports,
No. 2,
2018
Abstract
Nahezu alle entwickelten Volkswirtschaften haben Programme zur Förderung von Projekten in Unternehmen im Rahmen von Industriepolitik eingeführt. Allerdings ist sehr wenig darüber bekannt, welche Programme eigentlich genau zur Anwendung kommen, welche finanziellen Mittel dafür aufgebracht werden und ob die Programme in der Art und Weise wirken, wie sie ursprünglich intendiert waren. Evaluationsstudien, die auf kausalen Untersuchungsdesigns basieren, können einen wertvollen Beitrag zur Beantwortung der Frage leisten, ob ein Programm tatsächlich Wirkungen entfaltet und welcher der verschiedenen Ansätze am erfolgversprechendsten ist. Dieser Datenreport stellt die vom Zentrum für evidenzbasierte Politikberatung am Leibniz-Institut für Wirtschaftsforschung Halle (IWH-CEP) entwickelte IWH-Subventionsdatenbank vor. Die Datenbank enthält (Stand November 2018) zehn Programme industriepolitischer Maßnahmen, die in Deutschland zur Anwendung kamen bzw. kommen. Der Report geht auf die Förderregeln dieser Programme ein und beschreibt die Prozeduren der Zusammenführung zu einer Masterdatei. Ferner diskutiert der Report Möglichkeiten der Verknüpfung der Förderdaten mit externen Unternehmensdatensätzen, die eine zwingende Voraussetzung für die Durchführung von Wirkungsanalysen darstellen, da die administrativen Förderdaten nicht alle Informationen enthalten, die für kausale Untersuchungsdesigns notwendig sind.
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Expertisen zur Evaluation der Gemeinschaftsaufgabe „Verbesserung der regionalen Wirtschaftsstruktur“ (GRW) in Sachsen-Anhalt
Matthias Brachert, Claudia M. Buch, Eva Dettmann, Gerhard Heimpold, Mirko Titze, Antje Weyh
IWH Online,
No. 2,
2018
Abstract
Investitionszuschüsse im Rahmen der Gemeinschaftsaufgabe „Verbesserung der regionalen Wirtschaftsstruktur“ (GRW) haben eine hohe Bedeutung im Rahmen der Wirtschaftsförderung des Landes Sachsen-Anhalt. Die Ziele der GRW-Förderung in Sachsen-Anhalt umfassen den Aufbau einer breitgefächerten, modernen Wirtschaftsstruktur, die Modernisierung und Erneuerung des Kapitalstocks, die Steigerung der Arbeitsproduktivität und die Schaffung neuer wettbewerbsfähiger Arbeitsplätze. Die vorliegenden drei Expertisen evaluieren diese Förderung mit Blick auf die GRW-Landesregeln, den Zusammenhang zwischen den wirtschaftspolitischen Maßnahmen und deren Wirkung sowie die Beschäftigungseffekte als einen Schwerpunkt der gewerblichen Förderung.
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Public Investment Subsidies and Firm Performance – Evidence from Germany
Matthias Brachert, Eva Dettmann, Mirko Titze
Jahrbücher für Nationalökonomie und Statistik,
No. 2,
2018
Abstract
This paper assesses firm-level effects of the single largest investment subsidy programme in Germany. The analysis considers grants allocated to firms in East German regions over the period 2007 to 2013 under the regional policy scheme Joint Task ‘Improving Regional Economic Structures’ (GRW). We apply a coarsened exact matching (CEM) in combination with a fixed effects difference-in-differences (FEDiD) estimator to identify the effects of programme participation on the treated firms. For the assessment, we use administrative data from the Federal Statistical Office and the Offices of the Länder to demonstrate that this administrative database offers a huge potential for evidence-based policy advice. The results suggest that investment subsidies have a positive impact on different dimensions of firm development, but do not affect overall firm competitiveness. We find positive short- and medium-run effects on firm employment. The effects on firm turnover remain significant and positive only in the medium-run. Gross fixed capital formation responses positively to GRW funding only during the mean implementation period of the projects but becomes insignificant afterwards. Finally, the effect of GRW-funding on labour productivity remains insignificant throughout the whole period of analysis.
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Who Benefits from GRW? Heterogeneous Employment Effects of Investment Subsidies in Saxony Anhalt
Eva Dettmann, Mirko Titze, Antje Weyh
IWH Discussion Papers,
No. 27,
2017
Abstract
The paper estimates the plant level employment effects of investment subsidies in one of the most strongly subsidized German Federal States. We analyze the treated plants as a whole, as well as the influence of heterogeneity in plant characteristics and the economic environment. Modifying the standard matching and difference-in-difference approach, we develop a new procedure that is particularly useful for the evaluation of funding programs with individual treatment phases within the funding period. Our data base combines treatment, employment and regional information from different sources. So, we can relate the absolute effects to the amount of the subsidy paid. The results suggest that investment subsidies have a positive influence on the employment development in absolute and standardized figures – with considerable effect heterogeneity.
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Central Bank Transparency and Cross-border Banking
Stefan Eichler, Helge Littke, Lena Tonzer
Journal of International Money and Finance,
2017
Abstract
We analyze the effect of central bank transparency on cross-border bank activities. Based on a panel gravity model for cross-border bank claims for 21 home and 47 destination countries from 1998 to 2010, we find strong empirical evidence that a rise in central bank transparency in the destination country, on average, increases cross-border claims. Using interaction models, we find that the positive effect of central bank transparency on cross-border claims is only significant if the central bank is politically independent and operates in a stable economic environment. Central bank transparency and credibility are thus considered complements by banks investing abroad.
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Joint R&D Subsidies, Related Variety, and Regional Innovation
T. Broekel, Matthias Brachert, M. Duschl, T. Brenner
International Regional Science Review,
No. 3,
2017
Abstract
Subsidies for research and development (R&D) are an important tool of public R&D policy, which motivates extensive scientific analyses and evaluations. This article adds to this literature by arguing that the effects of R&D subsidies go beyond the extension of organizations’ monetary resources invested into R&D. It is argued that collaboration induced by subsidized joint R&D projects yield significant effects that are missed in traditional analyses. An empirical study on the level of German labor market regions substantiates this claim, showing that collaborative R&D subsidies impact regions’ innovation growth when providing access to related variety and embedding regions into central positions in cross-regional knowledge networks.
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