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The venture capital market and firms whose creation and early stages were financed by venture capital are among the crown jewels of the American economy. Beyond representing an important engine of macroeconomic growth and job creation, these firms have been a major force in commercializing cutting edge science, whether through their impact on existing industries as with the radical changes in pharmaceuticals catalyzed by venture-backed firms commercialization of biotechnology, or by the their role in developing entirely new industries as with the emergence of the internet and world wide web. The venture capital market thus provides a unique link between finance and innovation, providing start-up and early stage firms - organizational forms particularly well suited to innovation - with capital market access that is tailored to the special task of financing these high risk, high return activities.
The nominee approach to equity crowdfunding pools all crowd investors into one (nominee) account where typically the platform acts as the legal owner but the crowd retains beneficial ownership. The platform plays an active digital corporate governance role that simultaneously enfranchises crowd investors with voting and ownership rights but removes the administrative burden on startups of having to deal with several hundred shareholders. Through an inter-platform and intra-platform analysis of a large sample of 1,018 initial equity crowdfunding campaigns, this paper assesses both the short-term and the long-term impact of nominee versus direct ownership. It finds that nominee initial campaigns are on average more successful than direct ownership campaigns in that they are more likely to succeed, raise more funds, attract overfunding and enjoy greater long run success in terms of successful seasoned equity crowdfunded offerings, numbers of such offerings, and probability of survival. These results hold inter-platform between the two main UK equity crowdfunding platforms (Seedrs and Crowdcube) as well as intra-platform, using the post-2015 quasi-natural experiment when the nominee approach became an option for startups raising capital on Crowdcube.
A new method for the determination of S-matrices of devices in multimoded waveguides and first experimental experiences are presented. The theoretical foundations are given. The scattering matrix of a TESLA copper cavity at a frequency above the cut-off of the second waveguide mode has been measured.
Das ursprüngliche Ziel des Erneuerbare-Energien-Gesetz war die Verringerung der Emissionen. Eigentlich hat die Politik bereits ein Instrument an der Hand, das dieses Ziel fokussiert und kostensparend erreichen kann: den Handel mit CO2-Zertifikaten. Der Autor argumentiert, dass das Nebeneinander von CO2-Handel und EEG höchst unproduktiv ist und schleunigst beendet werden sollte. Ein plausibleres Argument für den politischen Erfolg des EEG und das derzeitige Herumdoktern im Detail ist, dass die Politik mit dem EEG Industriepolitik betreiben und die Kosten auf zukünftige Parlamente und Generationen überwälzen kann.
Aufbauend auf einer Literaturanalyse wird der derzeitige technische Entwicklungsstand im Bereich der Energierückgewinnung aus dem Siedlungsabwasser skizziert. Neben der Wärmerückgewinnung, die sowohl im Kanalnetz als auch dezentral in Gebäuden möglich ist, wurde die Biogasgewinnung sowohl auf Aerobkläranlagen als auch in Anaerobanlagen und die anschließende Aufbereitung der Klärgase in Erdgasqualität ebenso diskutiert wie die Nutzung von Schlämmen als Brennmaterial. Die Darstellung des derzeitigen Entwicklungsstandes half dabei, mögliche Entwicklungsaufgaben zu identifizieren, die einerseits vordringlich erlauben könnten, Abwasser künftig als Energieressource zu betrachten, und deren Lösung andererseits besonders innovative Leistungen erfordern. Die Entwicklungsaufgaben wurden thesenhaft zugespitzt, um so anschließend in einer Delphi-Befragung überprüft zu werden.
Traditionally, aggregate liquidity shocks are modelled as exogenous events. Extending our previous work (Cao & Illing, 2007), this paper analyses the adequate policy response to endogenous systemic liquidity risk. We analyse the feedback between lender of last resort policy and incentives of private banks, determining the aggregate amount of liquidity available. We show that imposing minimum liquidity standards for banks ex ante are a crucial requirement for sensible lender of last resort policy. In addition, we analyse the impact of equity requirements and narrow banking, in the sense that banks are required to hold sufficient liquid funds so as to pay out in all contingencies. We show that such a policy is strictly inferior to imposing minimum liquidity standards ex ante combined with lender of last resort policy.
We propose a unified framework to measure the effects of different reforms of the pension system on retirement ages and macroeconomic indicators in the face of demographic change. A rich overlapping generations (OLG) model is built and endogenous retirement decisions are explicitly modeled within a public pension system. Heterogeneity with respect to consumption preferences, wage profiles, and survival rates is embedded in the model. Besides the expected direct effects of these reforms on the behavior of households, we observe that feedback effects do occur. Results suggest that individual retirement decisions are strongly influenced by numerous incentives produced by the pension system and macroeconomic variables, such as the statutory eligibility age, adjustment rates, the presence of a replacement rate, and interest rates. Those decisions, in turn, have several impacts on the macro-economy which can create feedback cycles working through equilibrium effects on interest rates and wages. Taken together, these reform scenarios have strong implications for the sustainability of pension systems. Because of the rich nature of our unified model framework, we are able to rank the reform proposals according to several individual and macroeconomic measures, thereby providing important support for policy recommendations on pension systems.
The authors embed human capital-based endogenous growth into a New-Keynesian model with search and matching frictions in the labor market and skill obsolescence from long-term unemployment. The model can account for key features of the Great Recession: a decline in productivity growth, the relative stability of inflation despite a pronounced fall in output (the "missing disinflation puzzle"), and a permanent gap between output and the pre-crisis trend output.
In the model, lower aggregate demand raises unemployment and the training costs associated with skill obsolescence. Lower employment hinders learning-by-doing, which slows down human capital accumulation, feeding back into even fewer vacancies than justified by the demand shock alone. These feedback channels mitigate the disinflationary effect of the demand shock while amplifying its contractionary effect on output. The temporary growth slowdown translates into output hysteresis (permanently lower output and labor productivity).
This paper investigates extensions of the method of endogenous gridpoints (ENDGM) introduced by Carroll (2006) to higher dimensions with more than one continuous endogenous state variable. We compare three different categories of algorithms: (i) the conventional method with exogenous grids (EXOGM), (ii) the pure method of endogenous gridpoints (ENDGM) and (iii) a hybrid method (HYBGM). ENDGM comes along with Delaunay interpolation on irregular grids. Comparison of methods is done by evaluating speed and accuracy. We find that HYBGM and ENDGM both dominate EXOGM. In an infinite horizon model, ENDGM also always dominates HYBGM. In a finite horizon model, the choice between HYBGM and ENDGM depends on the number of gridpoints in each dimension. With less than 150 gridpoints in each dimension ENDGM is faster than HYBGM, and vice versa. For a standard choice of 25 to 50 gridpoints in each dimension, ENDGM is 1.4 to 1.7 times faster than HYBGM in the finite horizon version and 2.4 to 2.5 times faster in the infinite horizon version of the model.
We develop a dynamic network model whose links are governed by banks' optmizing decisions and by an endogenous tâtonnement market adjustment. Banks in our model can default and engage in firesales: risk is transmitted through direct and cascading counterparty defaults as well as through indirect pecuniary externalities triggered by firesales. We use the model to assess the evolution of the network configuration under various prudential policy regimes, to measure banks' contribution to systemic risk (through Shapley values) in response to shocks and to analyze the effects of systemic risk charges. We complement the analysis by introducing the possibility of central bank liquidity provision.