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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Skills, Earnings, and Employment: Exploring Causality in the Estimation of Returns to Skills
Franziska Hampf, Simon Wiederhold, Ludger Woessmann
Large-scale Assessments in Education,
No. 12,
2017
Abstract
Ample evidence indicates that a person’s human capital is important for success on the labor market in terms of both wages and employment prospects. However, unlike the efforts to identify the impact of school attainment on labor-market outcomes, the literature on returns to cognitive skills has not yet provided convincing evidence that the estimated returns can be causally interpreted. Using the PIAAC Survey of Adult Skills, this paper explores several approaches that aim to address potential threats to causal identification of returns to skills, in terms of both higher wages and better employment chances. We address measurement error by exploiting the fact that PIAAC measures skills in several domains. Furthermore, we estimate instrumental-variable models that use skill variation stemming from school attainment and parental education to circumvent reverse causation. Results show a strikingly similar pattern across the diverse set of countries in our sample. In fact, the instrumental-variable estimates are consistently larger than those found in standard least-squares estimations. The same is true in two “natural experiments,” one of which exploits variation in skills from changes in compulsory-schooling laws across U.S. states. The other one identifies technologically induced variation in broadband Internet availability that gives rise to variation in ICT skills across German municipalities. Together, the results suggest that least-squares estimates may provide a lower bound of the true returns to skills in the labor market.
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Drivers of Systemic Risk: Do National and European Perspectives Differ?
Claudia M. Buch, Thomas Krause, Lena Tonzer
Abstract
In Europe, the financial stability mandate generally rests at the national level. But there is an important exception. Since the establishment of the Banking Union in 2014, the European Central Bank (ECB) can impose stricter regulations than the national regulator. The precondition is that the ECB identifies systemic risks which are not adequately addressed by the macroprudential regulator at the national level. In this paper, we ask whether the drivers of systemic risk differ when applying a national versus a European perspective. We use market data for 80 listed euro-area banks to measure each bank’s contribution to systemic risk (SRISK) at the national and the euro-area level. Our research delivers three main findings. First, on average, systemic risk increased during the financial crisis. The difference between systemic risk at the national and the euro-area level is not very large, but there is considerable heterogeneity across countries and banks. Second, an exploration of the drivers of systemic risk shows that a bank’s contribution to systemic risk is positively related to its size and profitability. It decreases in a bank’s share of loans to total assets. Third, the qualitative determinants of systemic risk are similar at the national and euro-area level, whereas the quantitative importance of some determinants differs.
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Attracting Early-Stage Investors: Evidence From a Randomized Field Experiment
Shai B. Bernstein, Arthur Korteweg, Kevin Laws
Journal of Finance,
No. 2,
2017
Abstract
This paper uses a randomized field experiment to identify which start-up characteristics are most important to investors in early-stage firms. The experiment randomizes investors? information sets of fund-raising start-ups. The average investor responds strongly to information about the founding team, but not to firm traction or existing lead investors. We provide evidence that the team is not merely a signal of quality, and that investing based on team information is a rational strategy. Together, our results indicate that information about human assets is causally important for the funding of early-stage firms and hence for entrepreneurial success.
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Coping with Change: International Differences in the Returns to Skills
Eric A. Hanushek, Guido Schwerdt, Simon Wiederhold, Ludger Woessmann
Economics Letters,
April
2017
Abstract
International data from the PIAAC survey allow estimation of comparable labor-market returns to skills for 32 countries. Returns to skills are larger in faster growing economies, consistent with the hypothesis that skills are particularly important for adaptation to economic change.
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Mind the Gap: The Difference Between U.S. and European Loan Rates
Tobias Berg, Anthony Saunders, Sascha Steffen, Daniel Streitz
Review of Financial Studies,
No. 3,
2017
Abstract
We analyze pricing differences between U.S. and European syndicated loans over the 1992–2014 period. We explicitly distinguish credit lines from term loans. For credit lines, U.S. borrowers pay significantly higher spreads, but lower fees, resulting in similar total costs of borrowing in both markets. Credit line usage is more cyclical in the United States, which provides a rationale for the pricing structure difference. For term loans, we analyze the channels of the cross-country loan price differential and document the importance of: the composition of term loan borrowers and the loan supply by institutional investors and foreign banks.
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Suppliers as Liquidity Insurers
Reint E. Gropp, Daniel Corsten, Panos Markou
IWH Discussion Papers,
No. 8,
2017
Abstract
We examine how financial constraints in portfolios of suppliers affect cash holdings at the level of the customer. Utilizing a data set of private and public French companies and their suppliers, we show that customers rely on their financially unconstrained suppliers to provide them with backup liquidity, and that they stockpile approximately 10% less cash than customers with constrained suppliers. This effect persisted during the global financial crisis, highlighting that suppliers may be viable insurers of liquidity even when financing from banks and other external channels is unavailable. We further show that customers with unconstrained suppliers also simultaneously receive more trade credit; that the reduction in cash holdings is greater for firms with stronger ties to their unconstrained suppliers; and that customers reduce their cash holdings following a significant relaxation in their suppliers’ financial constraints through an IPO. Taken together, the results provide important nuance regarding the implications of supplier portfolios and financial constraints on firm liquidity management.
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Assessing the Effects of Regulatory Bank Levies
Claudia M. Buch, Lena Tonzer, Benjamin Weigert
VOX CEPR's Policy Portal,
2017
Abstract
In response to the Global Crisis, governments have implemented restructuring and resolution regimes backed by funds financed by bank levies. Bank levies aim to internalise system risk externalities and to provide funding for bank recovery and resolution. This column explores bank levy design by considering the German and European cases. The discussion points to the importance of structured policy evaluations to determine the effects of levies.
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Taking the Leap: The Determinants of Entrepreneurs Hiring Their First Employee
Robert W. Fairlie, Javier Miranda
Journal of Economics and Management Strategy,
No. 1,
2017
Abstract
Job creation is one of the most important aspects of entrepreneurship, but we know relatively little about the hiring patterns and decisions of start‐ups. Longitudinal data from the Integrated Longitudinal Business Database (iLBD), Kauffman Firm Survey (KFS), and the Growing America through Entrepreneurship (GATE) experiment are used to provide some of the first evidence in the literature on the determinants of taking the leap from a nonemployer to employer firm among start‐ups. Several interesting patterns emerge regarding the dynamics of nonemployer start‐ups hiring their first employee. Hiring rates among the universe of nonemployer start‐ups are very low, but increase when the population of nonemployers is focused on more growth‐oriented businesses such as incorporated and employer identification number businesses. If nonemployer start‐ups hire, the bulk of hiring occurs in the first few years of existence. After this point in time, relatively few nonemployer start‐ups hire an employee. Focusing on more growth‐ and employment‐oriented start‐ups in the KFS, we find that Asian‐owned and Hispanic‐owned start‐ups have higher rates of hiring their first employee than white‐owned start‐ups. Female‐owned start‐ups are roughly 10 percentage points less likely to hire their first employee by the first, second, and seventh years after start‐up. The education level of the owner, however, is not found to be associated with the probability of hiring an employee. Among business characteristics, we find evidence that business assets and intellectual property are associated with hiring the first employee. Using data from the largest random experiment providing entrepreneurship training in the United States ever conducted, we do not find evidence that entrepreneurship training increases the likelihood that nonemployers hire their first employee.
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Bank Risk Proxies and the Crisis of 2007/09: A Comparison
Felix Noth, Lena Tonzer
Applied Economics Letters,
No. 7,
2017
Abstract
The global financial crisis has again shown that it is important to understand the emergence and measurement of risks in the banking sector. However, there is no consensus in the literature which risk proxy works best at the level of the individual bank. A commonly used measure in applied work is the Z-score, which might suffer from calculation issues given poor data quality. Motivated by the variety of bank risk proxies, our analysis reveals that nonperforming assets are a well-suited complement to the Z-score in studies of bank risk.
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