Differences Make a Difference: Diversity in Social Learning and Value Creation
Yiwei Fang, Bill Francis, Iftekhar Hasan
Journal of Corporate Finance,
2018
Abstract
Prior research has demonstrated that CEOs learn privileged information from their social connections. Going beyond the importance of the number of social ties in a CEO's social network, this paper studies the value generated from a diverse social environment. We construct an index of social-network heterogeneity (SNH) that captures the extent to which CEOs are connected to people of different demographic attributes and skill sets. We find that higher CEO SNH leads to greater firm value through the channels of better corporate innovation and diversified M&As. Overall, the evidence suggests that CEOs' exposure to human diversity enhances social learning and creates greater growth opportunities for firms.
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Does It Pay to Get Connected? An Examination of Bank Alliance Network and Bond Spread
Iftekhar Hasan, Céline Meslier, Amine Tarazi, Mingming Zhou
Journal of Economics and Business,
im Erscheinen
Abstract
This paper examines the effects of bank alliance network on bonds issued by European banks during the period 1990–2009. We construct six measures capturing different dimensions of banks’ network characteristics. In opposition to the results obtained for non-financial firms, our findings indicate that being part of a network does not create value for bank’s bondholders, indicating a dark side effect of strategic alliances in the banking sector. While being part of a network is perceived as a risk-increasing event by market participants, this negative perception is significantly lower for the larger banks, and, to a lesser extent, for the more profitable banks. Moreover, during crisis times, the positive impact on bond spread of a bank’s higher centrality or of a bank’s higher connectedness in the network is stronger, indicating that market participants may fear spillover effects within the network during periods of banks’ heightened financial fragility.
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Criminal Network Formation and Optimal Detection Policy: The Role of Cascade of Detection
Liuchun Deng, Yufeng Sun
Journal of Economic Behavior and Organization,
September
2017
Abstract
This paper investigates the effect of cascade of detection, how detection of a criminal triggers detection of his network neighbors, on criminal network formation. We develop a model in which criminals choose both links and actions. We show that the degree of cascade of detection plays an important role in shaping equilibrium criminal networks. Surprisingly, greater cascade of detection could reduce ex ante social welfare. In particular, we prove that full cascade of detection yields a weakly denser criminal network than that under partial cascade of detection. We further characterize the optimal allocation of the detection resource and demonstrate that it should be highly asymmetric among ex ante identical agents.
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09.08.2017 • 29/2017
Vernetzt und aufgefangen
Während der Finanzkrise flossen Milliarden, um Banken zu retten, die ihren Regierungen zufolge zu groß waren als dass man sie hätte untergehen lassen dürfen. Doch eine Studie von Michael Koetter vom Leibniz-Institut für Wirtschaftsforschung Halle (IWH) und Ko-Autoren zeigt: Nicht nur die Größe der Bankhäuser war für eine Rettung entscheidend. Wesentlich war auch, wie zentral ein Institut im globalen Finanznetzwerk war.
Michael Koetter
Pressemitteilung lesen
05.01.2017 • 3/2017
Sekretariat des Forschungsnetzwerks CompNet künftig am IWH beheimatet
Das Leibniz-Institut für Wirtschaftsforschung Halle (IWH) hat das Sekretariat des Competitiveness Research Network CompNet übernommen, einem internationalen Netzwerk führender Wissenschaftler und Wissenschaftlerinnen sowie Fachleute, die erstklassige Forschung und Politikberatung auf den Gebieten der Wettbewerbsfähigkeit und Produktivität betreiben.
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Innovation Network
Daron Acemoglu, Ufuk Akcigit, William R. Kerr
Proceedings of the National Academy of Sciences of the United States of America (PNAS),
Nr. 41,
2016
Abstract
Technological progress builds upon itself, with the expansion of invention in one domain propelling future work in linked fields. Our analysis uses 1.8 million US patents and their citation properties to map the innovation network and its strength. Past innovation network structures are calculated using citation patterns across technology classes during 1975–1994. The interaction of this preexisting network structure with patent growth in upstream technology fields has strong predictive power on future innovation after 1995. This pattern is consistent with the idea that when there is more past upstream innovation for a particular technology class to build on, then that technology class innovates more.
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Is the 'Central German Metropolitan Region' Spatially Integrated? An Empirical Assessment of Commuting Relations
Albrecht Kauffmann
Urban Studies,
Nr. 9,
2016
Abstract
The 'Central German Metropolitan Region' is a network of cities and their surroundings, located in the three East-German states of Saxony, Saxony-Anhalt and Thuringia. It was founded to bring the bundled strengths of these cities into an inter-municipal cooperation, for making use of the possible advantages of a polycentric region. As theory claims, a precondition for gains from polycentricity is spatial integration of the region. In particular, markets for high skilled labour should be integrated. To assess how this precondition is fulfilled in Central Germany, in the framework of a doubly constrained gravity model the commuting relations between the functional regions of the (until 2013) 11 core cities of the network are analysed. In particular for higher educated employees, the results display that commuting relations are determined not only by distance, but also by the state borders that cross the area.
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24.02.2016 • 8/2016
Regionale Verteilung von Flüchtlingen in Deutschland
Angesichts hoher Flüchtlingszahlen und der nicht funktionsfähigen gemeinsamen europäischen Asylpolitik muss die regionale Verteilung der Flüchtlinge in Deutschland nach Einschätzung des IWH neu überdacht werden. Soziale Netzwerke und die regionale Arbeitsmarktlage sind dabei wichtige Indikatoren. Eine optimale Verteilung ist mit bürokratischen Mitteln allerdings kaum zu erreichen. Letztlich müssen Marktkräfte einen interregionalen Ausgleich unterstützen. Dafür bedarf es aber entsprechender Anreize sowohl für die Flüchtlinge als auch für die politischen Entscheidungsträger vor Ort – eine Herausforderung für Regionalpolitik und Finanzausgleich.
Oliver Holtemöller
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Networks and the Macroeconomy: An Empirical Exploration
Daron Acemoglu, Ufuk Akcigit, William R. Kerr
NBER Macroeconomics Annual,
2015
Abstract
How small shocks are amplified and propagated through the economy to cause sizable fluctuations is at the heart of much macroeconomic research. Potential mechanisms that have been proposed range from investment and capital accumulation responses in real business-cycle models (e.g., Kydland and Prescott 1982) to Keynesian multipliers (e.g., Diamond 1982; Kiyotaki 1988; Blanchard and Kiyotaki 1987; Hall 2009; Christiano, Eichenbaum, and Rebelo 2011); to credit market frictions facing firms, households, or banks (e.g., Bernanke and Gertler 1989; Kiyotaki and Moore 1997; Guerrieri and Lorenzoni 2012; Mian, Rao, and Sufi 2013); to the role of real and nominal rigidities and their interplay (Ball and Romer 1990); and to the consequences of (potentially inappropriate or constrained) monetary policy (e.g., Friedman and Schwartz 1971; Eggertsson and Woodford 2003; Farhi and Werning 2013).
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The Structure and Evolution of Inter-sectoral Technological Complementarity in R&D in Germany from 1990 to 2011
T. Broekel, Matthias Brachert
Journal of Evolutionary Economics,
Nr. 4,
2015
Abstract
Technological complementarity is argued to be a crucial element for effective R&D collaboration. The real structure is, however, still largely unknown. Based on the argument that organizations’ knowledge resources must fit for enabling collective learning and innovation, we use the co-occurrence of firms in collaborative R&D projects in Germany to assess inter-sectoral technological complementarity between 129 sectors. The results are mapped as complementarity space for the Germany economy. The space and its dynamics from 1990 to 2011 are analyzed by means of social network analysis. The results illustrate sectors being complements both from a dyadic and portfolio/network perspective. This latter is important, as complementarities may only become fully effective when integrated in a complete set of different knowledge resources from multiple sectors. The dynamic perspective moreover reveals the shifting demand for knowledge resources among sectors at different time periods.
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