Finance and Wealth Inequality
Iftekhar Hasan, Roman Horvath, Jan Mares
Journal of International Money and Finance,
November
2020
Abstract
Using a global sample, this paper investigates the determinants of wealth inequality capturing various economic, financial, political, institutional, and geographical indicators. Using instrumental variable Bayesian model averaging, it reveals that only a handful of indicators robustly matters and finance plays a key role. It reports that while financial depth increases wealth inequality, efficiency and access to finance reduce inequality. In addition, redistribution and education are associated with lower inequality whereas wars and openness to international trade contribute to greater wealth inequality.
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Capital Misallocation and Innovation
Christian Schmidt, Yannik Schneider, Sascha Steffen, Daniel Streitz
SSRN Solutions Research Paper Series,
2020
Abstract
This paper documents that "zombie" lending by undercapitalized banks distorts competition and impedes corporate innovation. This misallocation of capital prevents both the exit of zombie and entry of healthy firms in affected industries adversely impacting output and competition. Worse, capital misallocation depresses patent applications, particularly in high technology- and R&D-intensive sectors, and industries with neck- and-neck competition. We strengthen our results using an IV approach to address reverse causality and innovation survey data from the European Commission. Overall, our results are consistent with externalities imposed on healthy firms through the misallocation of capital.
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Identifying Cooperation for Innovation ― A Comparison of Data Sources
Michael Fritsch, Mirko Titze, Matthias Piontek
Industry and Innovation,
Nr. 6,
2020
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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Is Social Capital Associated with Corporate Innovation? Evidence from Publicly Listed Firms in the U.S.
Iftekhar Hasan, Chun-Keung (Stan) Hoi, Qiang Wu, Hao Zhang
Journal of Corporate Finance,
June
2020
Abstract
We find that social capital in U.S. counties, as captured by strength of social norms and density of social networks, is positively associated with innovation of firms headquartered in the county, as captured by patents and citations. This relation is robust in fixed-effect regressions, instrumental variable regressions with a Bartik instrument, propensity score matching regressions, and a difference-in-differences design that isolates the effects of over time variations in social capital due to corporate headquarter relocations. Strength of social norms plays a more dominant role than density of social networks in producing these empirical regularities. Cross-sectional evidence indicates the prominence of the contracting channel through which social capital relates to innovation. Additionally, we find that social capital is also positively associated with trademarks and effectiveness of corporate R&D expenditures.
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Zu den betrieblichen Effekten der Investitionsförderung im Rahmen der deutschen Regionalpolitik
Matthias Brachert, Eva Dettmann, Mirko Titze
Wirtschaft im Wandel,
Nr. 1,
2020
Abstract
Die Wirtschaft in den Industrieländern unterliegt einem ständigen Anpassungsdruck. Wichtige aktuelle Treiber des Strukturwandels sind vor allem die Globalisierung, der technologische Fortschritt (insbesondere durch Digitalisierung und Automatisierung), die Demographie (durch Alterung und Schrumpfung der Bevölkerung) und der Klimawandel. Von diesem Anpassungsdruck sind jedoch die Regionen in Deutschland sehr unterschiedlich betroffen. Regionalpolitik verfolgt das Ziel, Regionen bei der Bewältigung des Strukturwandels zu unterstützen. Ein besonderer Fokus liegt dabei auf Regionen, die ohnehin durch Strukturschwächen gekennzeichnet sind. Die aktuelle Regionalförderung in Deutschland basiert im Wesentlichen auf der Förderung von Investitionen von Betrieben und Kommunen. Die Evaluierung dieser Programme muss integraler Bestandteil der Regionalpolitik sein – schließlich stellt sich immer die Frage nach einer alternativen Verwendung knapper öffentlicher Mittel. Eine Pilotstudie für Sachsen-Anhalt zeigt, dass die im Rahmen der Regionalpolitik gewährten Investitionszuschüsse einen positiven Effekt auf Beschäftigung und Investitionen der geförderten Betriebe haben; bei den Investitionen allerdings nur für die Dauer des Projekts. Effekte der Förderung auf Umsatz und Produktivität von Betrieben in Sachsen-Anhalt waren nicht nachweisbar.
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Democracy and Credit
Manthos D. Delis, Iftekhar Hasan, Steven Ongena
Journal of Financial Economics,
Nr. 2,
2020
Abstract
Does democratization reduce the cost of credit? Using global syndicated loan data from 1984 to 2014, we find that democratization has a sizable negative effect on loan spreads: a 1-point increase in the zero-to-ten Polity IV index of democracy shaves at least 19 basis points off spreads, but likely more. Reversals to autocracy hike spreads more strongly. Our findings are robust to the comprehensive inclusion of relevant controls, to the instrumentation with regional waves of democratization, and to a battery of other sensitivity tests. We thus highlight the lower cost of loans as one relevant mechanism through which democratization can affect economic development.
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18.02.2020 • 3/2020
Presseeinladung zur IWH-Konferenz „Europas Finanzmarkt: Zwangsehe oder lose Bekanntschaft?“ am 26. Februar 2020
Ein Jahrzehnt nach der weltweiten Finanzkrise steht das Finanzsystem noch immer vor enormen Herausforderungen. Wie diese in Europa gemeistert werden können, ist Thema einer hochkarätig besetzten Tagung am Leibniz-Institut für Wirtschaftsforschung Halle (IWH). Zur Eröffnung spricht Claudia Buch, Vizepräsidentin der Deutschen Bundesbank.
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12.02.2020 • 2/2020
Ursachen von Populismus: IWH beginnt internationales Forschungsprojekt
Hat das Erstarken von populistischen Parteien ökonomische Ursachen? Diese brisante Frage untersucht das Leibniz-Institut für Wirtschaftsforschung Halle (IWH) ab sofort federführend zusammen mit Forschenden aus England, Schottland und Tschechien. Die VolkswagenStiftung fördert das interdisziplinäre Projekt für vier Jahre mit knapp einer Million Euro.
Steffen Müller
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Intangible Capital and Productivity. Firm-level Evidence from German Manufacturing
Wolfhard Kaus, Viktor Slavtchev, Markus Zimmermann
IWH Discussion Papers,
Nr. 1,
2020
Abstract
We study the importance of intangible capital (R&D, software, patents) for the measurement of productivity using firm-level panel data from German manufacturing. We first document a number of facts on the evolution of intangible investment over time, and its distribution across firms. Aggregate intangible investment increased over time. However, the distribution of intangible investment, even more so than that of physical investment, is heavily right-skewed, with many firms investing nothing or little, and a few firms having very large intensities. Intangible investment is also lumpy. Firms that invest more intensively in intangibles (per capita or as sales share) also tend to be more productive. In a second step, we estimate production functions with and without intangible capital using recent control function approaches to account for the simultaneity of input choice and unobserved productivity shocks. We find a positive output elasticity for research and development (R&D) and, to a lesser extent, software and patent investment. Moreover, the production function estimates show substantial heterogeneity in the output elasticities across industries and firms. While intangible capital has small effects for firms with low intangible intensity, there are strong positive effects for high-intensity firms. Finally, including intangibles in a gross output production function reduces productivity dispersion (measured by the 90-10 decile range) on average by 3%, in some industries as much as nearly 9%.
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