Identifying Cooperation for Innovation – A Comparison of Data Sources
Michael Fritsch, Matthias Piontek, Mirko Titze
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 subsidised collaborative Research and Development 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. The key role of universities that connect many regional actors is identified in all three types of data.
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Senior Debt and Market Discipline: Evidence from Bank-to-bank Loans
Bill Francis, Iftekhar Hasan, Liuling Liu, Haizhi Wang
Journal of Banking and Finance,
2019
Abstract
We empirically investigate whether taking senior bank loans would enhance market discipline and control risk-taking among borrowing banks. Controlling for endogeneity concern arising from borrowing bank self-select into taking senior bank debt, we document that both the spreads and covenants in loan contracts are sensitive to bank risk variables. Our analysis also reveals that borrowing banks reduce their risk exposure after their first issuance of senior bank debt. We also find that lending banks significantly increase their collaboration with borrowing banks and increase their presence in the home markets of borrowing banks.
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Innovation, Reallocation, and Growth
Daron Acemoglu, Ufuk Akcigit, Harun Alp, Nicholas Bloom, William R. Kerr
American Economic Review,
No. 11,
2018
Abstract
We build a model of firm-level innovation, productivity growth, and reallocation featuring endogenous entry and exit. A new and central economic force is the selection between high- and low-type firms, which differ in terms of their innovative capacity. We estimate the parameters of the model using US Census microdata on firm-level output, R&D, and patenting. The model provides a good fit to the dynamics of firm entry and exit, output, and R&D. Taxing the continued operation of incumbents can lead to sizable gains (of the order of 1.4 percent improvement in welfare) by encouraging exit of less productive firms and freeing up skilled labor to be used for R&D by high-type incumbents. Subsidies to the R&D of incumbents do not achieve this objective because they encourage the survival and expansion of low-type firms.
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Living with Lower Productivity Growth: Impact on Exports
Filippo di Mauro, Bernardo Mottironi, Gianmarco Ottaviano, Alessandro Zona-Mattioli
IWH-CompNet Discussion Papers,
No. 1,
2018
Abstract
This paper investigates the impact of sustained lower productivity growth on exports, by looking at the role of the productivity distribution and allocative efficiency as drivers of export performance. It follows and goes beyond the work of Barba Navaretti et al. (2017), analysing the effects of productivity on exports depending on the dynamics of allocative efficiency. Low productivity growth is a well-documented stylised fact in Western countries – and possibly a reality likely to persist for some time. What could be the impact of persistent sluggish growth of productivity on exports? To shed light on this question, this paper examines the relationship between the productivity distribution of firms and sectoral export performance. The structure of firms within countries or even sectors matters tremendously for the nexus between productivity and exports at the macroeconomic level, as the theoretical and empirical literature documents. For instance, whether too few firms at the top (lack of innovation) or too many firms at the bottom (weak market selection) drives slow average productivity at the macro level has very different implications and therefore demands different policy responses.
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Selection Versus Incentives in Incentive Pay: Evidence from a Matching Model
Shuo Xia
SSRN Working Papers,
2018
Abstract
Higher incentive pay is associated with better firm performance. I introduce a model of CEO-firm matching to disentangle the two confounding effects that drive this result. On one hand, higher incentive pay directly induces more effort; on the other hand, higher incentive pay indirectly attracts more talented CEOs. I find both effects are essential to explain the result, with the selection effect accounting for 12.7% of the total effect. The relative importance of the selection effect is the largest in industries with high talent mobility and in more recent years.
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Effectiveness and (In)Efficiencies of Compensation Regulation: Evidence from the EU Banker Bonus Cap
Stefano Colonnello, Michael Koetter, Konstantin Wagner
Abstract
We investigate the (unintended) effects of bank executive compensation regulation. Capping the share of variable compensation spurred average turnover rates driven by CEOs at poorly performing banks. Other than that, banks‘ responses to raise fixed compensation sufficed to retain the vast majority of non-CEO executives and those at well performing banks. We fail to find evidence that banks with executives that are more affected by the bonus cap became less risky. In fact, numerous results indicate an increase of risk, even in its systemic dimension according to selected measures. The return component of bank performance appears to be unaffected by the bonus cap. Risk hikes are consistent with an insurance effect associated with raised the increase in fixed compensation of executives. The ability of the policy to enhance financial stability is therefore doubtful.
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Hidden Gems and Borrowers with Dirty Little Secrets: Investment in Soft Information, Borrower Self-selection and Competition
Reint E. Gropp, Andre Guettler
Journal of Banking and Finance,
No. 2,
2018
Abstract
This paper empirically examines the role of soft information in the competitive interaction between relationship and transaction banks. Soft information can be interpreted as a valuable signal about the quality of a firm that is observable to a relationship bank, but not to a transaction bank. We show that borrowers self-select to relationship banks depending on whether their observed soft information is positive or negative. Competition affects the investment in learning the soft information from firms by relationship banks and transaction banks asymmetrically. Relationship banks invest more; transaction banks invest less in soft information, exacerbating the selection effect.
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Imputation Rules for the Implementation of the Pre-unification Education Variable in the BASiD Data Set
André Diegmann
Journal for Labour Market Research,
2017
Abstract
Using combined data from the German Pension Insurance and the Federal Employment Agency (BASiD), this study proposes different procedures for imputing the pre-unification education variable in the BASiD data. To do so, we exploit information on education-related periods that are creditable for the Pension Insurance. Combining these periods with information on the educational system in the former GDR, we propose three different imputation procedures, which we validate using external GDR census data for selected age groups. A common result from all procedures is that they tend to underpredict (overpredict) the share of high-skilled (low-skilled) for the oldest age groups. Comparing our imputed education variable with information on educational attainment from the Integrated Employment Biographies (IEB) reveals that the best match is obtained for the vocational training degree. Although regressions show that misclassification with respect to IEB information is clearly related to observables, we do not find any systematic pattern across skill groups.
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Transferability of Skills across Sectors and Heterogeneous Displacement Costs
Moises Yi, Steffen Müller, Jens Stegmaier
American Economic Review: Papers and Proceedings,
No. 5,
2017
Abstract
We use rich German administrative data to estimate new measures of skill transferability between manufacturing and other sectors. These measures capture the value of workers' human capital when applied in different sectors and are directly related to workers' displacement costs. We estimate these transferability measures using a selection correction model, which addresses workers' endogenous mobility, and a novel selection instrument based on the social network of workers. Our results indicate substantial heterogeneity in how workers can transfer their skills when they move across sectors, which implies heterogeneous displacement costs that depend on the sector to which workers reallocate.
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European Bank Efficiency and Performance: The Effects of Supranational Versus National Bank Supervision
Rients Galema, Michael Koetter
T. Beck, B. Casu (eds): The Palgrave Handbook of European Banking, London,
2016
Abstract
This chapter explores European bank efficiency and performance. First, the authors provide an overview of the key estimation methods for efficiency and discuss selected applications to the European banking sector. Second, they apply stochastic frontier analysis to investigate the extent to which the reallocation of supervisory powers is associated with efficiency differences between European banks. In doing so, the discussion focuses particularly on whether direct supervision by the Single Supervisory Mechanism (SSM) as opposed to national competent authority (NCA) is related to cost and profit efficiency.
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