Corporate taxation and the quality of research and development

This paper examines the impact of tax incentives on corporate research and development (R&D) activity. R&D tax incentives are commonly provided as special tax allowances or tax credits. In recent years, several countries also reduced their income tax rates on R&D output with the purpose to foster R&D activity. Previous papers have shown that all three tax instruments are effective in raising the quantity of R&D related activity. We in turn assess the impact of corporate tax incentives on the quality of R&D projects, i.e., their innovativeness and earnings potential. Using rich data on corporate patent applications to the European patent office, we find that a low tax rate on patent income raises the average profitability and innovation level of the projects undertaken in a country. The effect is statistically significant and economically relevant and prevails in a number of sensitivity checks. Generous R&D tax credits and tax allowances are in contrast found to exert a negative impact on project quality.     

New telecommunications services in Austria : A technology assessment

Public fears have grown up surrounding the uncertain potential benefit or harm of recent rapid technological advances in Austrian telecommunications. A technology assessment was called for, to proffer comprehensive and balanced information on the current state of, and future developments in, Austrian telecommunications. This paper explains the organization of the Austrian PTT, discusses successful new services, considers their relationship to the law and the economy, and analyses their social impact.     

How Preussag Became TUI: A Clinical Study of Institutional Blockholders and Restructuring in Europe

Between 1997 and 2004, Preussag, a diversified German conglomerate of "old economy" businesses, transformed itself into TUI, a company focused almost entirely on tourism and logistics. We analyze how Preussag executed this change, and how the change contributed to Preussag's underperformance in the stock market. We find that only the divestitures created value, that the strategy to invest in tourism destroyed value, and that the acquisition premiums Preussag paid were mostly unjustified. The case shows how divestiture programs increase the liquid resources available to management and casts doubt on the positive governance role of institutional blockholders.     

Resources access needs and capabilities as mediators of the relationship between VC firm size and syndication

Drawing from the resource-based view and transaction costs economics, we develop a theoretical framework to explain why small and large firms face different levels of resource access needs and resource access capabilities, which mediate the relationship between firm size and hybrid governance. Employing a sample of 317 venture capital firms, drawn across six European countries, we empirically assess our framework in the context of venture capital syndication. We estimate a path model using structural equation modeling and find, consistent with our theoretical framework, mediating effects of different types of resource access needs and resource access capabilities between VC firm size and syndication frequency. These findings advance the small business literature by highlighting the trade-offs that size imposes on firms that seek to manage their access to external resources through hybrid governance strategies.     

Bayesian smooth-and-match inference for ordinary differential equations models linear in the parameters

Dynamic processes are crucial in many empirical fields, such as in oceanography, climate science, and engineering. Processes that evolve through time are often well described by systems of ordinary differential equations (ODEs). Fitting ODEs to data has long been a bottleneck because the analytical solution of general systems of ODEs is often not explicitly available. We focus on a class of inference techniques that uses smoothing to avoid direct integration. In particular, we develop a Bayesian smooth-and-match strategy that approximates the ODE solution while performing Bayesian inference on the model parameters. We incorporate in the strategy two main sources of uncertainty: the noise level of the measured observations and the model approximation error. We assess the performance of the proposed approach in an extensive simulation study and on a canonical data set of neuronal electrical activity.     

Introducing a general class of species diversification models for phylogenetic trees

Phylogenetic trees are types of networks that describe the temporal relationship between individuals, species, or other units that are subject to evolutionary diversification. Many phylogenetic trees are constructed from molecular data that is often only available for extant species, and hence they lack all or some of the branches that did not make it into the present. This feature makes inference on the diversification process challenging. For relatively simple diversification models, analytical or numerical methods to compute the likelihood exist, but these do not work for more realistic models in which the likelihood depends on properties of the missing lineages. In this article, we study a general class of species diversification models, and we provide an expectation-maximization framework in combination with a uniform sampling scheme to perform maximum likelihood estimation of the parameters of the diversification process.     

The curse of bureaucratisation or the blessings of professionalisation? Nurses’ engaged adoption of quality management in hybrid managerial positions

The paper concerns how new quality management in the Danish hospital sector has created new career and professionalisation opportunities for nurses. While the well-known dualism between the logics of professionalism and managerialism is challenged in the literature, not much is known about how engagement in the tighter steering of practice may converge with professional identities and meaningfulness in work. The paper applies a Bourdieusian and ethnographic approach to the examination of nurses’ enthusiastic involvement in quality management as they take up hybrid managerial positions in an acute care department. The findings demonstrate the importance of the material and symbolic value of scientific-bureaucratic knowledge in legitimizing quality management, achieving meaningfulness in practice and bolstering the professional role of nurses.