IWH EXplore
IWH EXplore Competitive Funding for Research Projects with External Involvement at IWH IWH EXplore gives scientists the opportunity to acquire supplemental funding, in addition to…
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Projects
Our Projects 07.2022 ‐ 12.2026 Evaluation of the InvKG and the federal STARK programme On behalf of the Federal Ministry of Economics and Climate Protection, the IWH and the RWI…
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Vocational Training
Vocational Training at IWH At the Halle Institute for Economic Research (IWH) the state-approved professions specialist in media and information services (m/f/x) [library] ,…
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R&D Tax Credits and the Acquisition of Startups
William McShane, Merih Sevilir
IWH Discussion Papers,
No. 15,
2023
Abstract
We propose a novel mechanism through which established firms contribute to the startup ecosystem: the allocation of R&D tax credits to startups via the M&A channel. We show that when established firms become eligible for R&D tax credits, they increase their R&D and M&A activity. In particular, they acquire more venture capital (VC)-backed startups, but not non-VC-backed firms. Moreover, the impact of R&D tax credits on firms’ R&D is increasing with their acquisition of VC-backed startups. The results suggest that established firms respond to R&D tax credits by acquiring startups rather than solely focusing on increasing their R&D intensity in-house. We also highlight evidence that startups do not appear to benefit from R&D tax credits directly, perhaps because they typically lack the taxable income necessary to directly benefit from the tax credits. In this context, established firms can play an intermediary role by acquiring startups and reallocating R&D tax credits, effectively relaxing the financial constraints faced by startups.
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IWH Doctoral Programme in Economics
Why Doctoral Studies at IWH? The IWH Doctoral Programme in Economics – one of the Top 20 places to do a PhD ( INOMICS Career Guide 2023 ) The Halle Institute for Economic Research…
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Department Profiles
Research Profiles of the IWH Departments All doctoral students are allocated to one of the four research departments (Financial Markets – Laws, Regulations and Factor Markets –…
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Vocational Training
Vocational Training at IWH At the Halle Institute for Economic Research (IWH) the state-approved professions specialist in media and information services (m/f/x) [library] ,…
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Teaching
Teaching Within the framework of its cooperations with both German and foreign universities IWH researchers are actively committed to teaching by offering academic courses. These…
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Social Capital and Regional Innovation: Evidence from Private Firms in the US
Iftekhar Hasan, Nada Kobeissi, Bo Wang, Haizhi Wang, Desheng Yin
Regional Studies,
No. 1,
2023
Abstract
In this study we investigate whether and to what extent social capital may affect regional innovation by focusing on private firms in the United States. We document that regional social capital is positively associated with the quantity, quality and novelty of county-level innovation by private firms. In addition, we find that the positive relation between social capital and regional innovation is more prominent in counties with a lower supply of financial capital. We also report that social capital is complementary to investments in research and development to produce inventive outcomes in local areas. Using a spatial Durbin model, we provide evidence that regional social capital has significant spillover effects in boosting the innovation activities of neighbouring counties.
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Correlation Scenarios and Correlation Stress Testing
Natalie Packham, Fabian Wöbbeking
Journal of Economic Behavior and Organization,
January
2023
Abstract
We develop a general approach for stress testing correlations of financial asset portfolios. The correlation matrix of asset returns is specified in a parametric form, where correlations are represented as a function of risk factors, such as country and industry factors. A sparse factor structure linking assets and risk factors is built using Bayesian variable selection methods. Regular calibration yields a joint distribution of economically meaningful stress scenarios of the factors. As such, the method also lends itself as a reverse stress testing framework: using the Mahalanobis distance or Highest Density Regions (HDR) on the joint risk factor distribution allows to infer worst-case correlation scenarios. We give examples of stress tests on a large portfolio of European and North American stocks.
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