This paper develops a two-industry model of R&D. A monopolist supplier sells an intermediate good to an oligopolistic buyer industry where firms compete in quantity and quality-enhancing R&D. The supplier can contribute to downstream product improvements by creating spillover knowledge which...

Die Shirking-Hypothese geht davon aus, daß Untemehmen Lohnprärnien und Kontrolle als substitutive Instrumente nutzen, um Arbeitnehmer zu Leistung anzuhalten. Die Unmöglichkeit, Arbeitsleistung perfekt zu beobachten, ist grundlegend für die Shirking-Hypothese, erschwert jedoch zugleich ihre...

Im Rückgriff auf die Innovationsforschung wird ein Ansatz für eine gemeinsame Sprache und eine konsistente Systematik für Innovationen im Umweltbereich entwickelt. Dazu werden einige allgemeine Begriffsdefinitionen der Innovationsforschung erläutert, der Begriff Umweltinnovation eingeführt...

Earlier studies which applied the family of stable Paretian distributions to financial data are inconclusive and contradictory. In this article I estimate the parameters of the model by the Feuerverger-McDunnough method which enables the application of maximum likelihood rhethods. Based on...

This paper considers the intertemporal consumption/savings decision when income follows a random walk with drift and the drift coefficient is unknown. Instead agents are Bayesian learners, combining prior and sample information to form a posterior for the drift coefficient and future income....

During the last years more and more discussions came up about the contribution of technology-oriented and technology-intensive industries for employment and economic development. One reason for some of the contradictory evaluations of technology-intensive industries can be attributed to...

Die empirische Überprüfung von steuerlich bedingten Marktsegmentationen (Steuer-Klientel- Effekten) ergab an den DM-Anleihemärkten asymmetrische Ergebnisse für Anleihen in Abhängigkeit von deren Kurshöhe. Im vorliegenden Beitrag werden diese Resultate durch Friktionen bei der Bildung von...

In this paper we apply statistical inference techniques to build neural network models which are able to explain the prices of call options written on the German stock index DAX. By testing for the explanatory power of several input variables serving as network inputs, some insight into the...

In this article we examine how model selection in neural networks can be guided by statistical procedures such as hypotheses tests, information criteria and cross validation. The application of these methods in neural network models is discussed, paying attention especially to the identification...