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...

This paper reviews the major finance-related causes of private under-investment in innovation and the consequent alternative choices for public policy. The focus is on incentive-based arguments that address the problem of limited appropriability of new knowledge, and on the lacking access to...

Probleme der Finanzierung sind für die Marktdiffusion innovativer Energietechnologien ebenso wichtig wie ihre technischen Eigenschaften oder der erwartete Nutzen aus der Technologieanwendung. Welche Rolle spielt dabei die Eigentümerstruktur des Innovators? Welchen Einfluss hat die...

Globalization seems to have diminished the importance of geographical distance. However, empirical studies find that distance coefficients in gravity equations change little over time. This paper argues that changes in distance coefficients do not carry much information on changes in distance...

Applying a method suggested by Woodruff (1971), we derive the sampling variances of Generalized Entropy and Atkinson inequality indices when estimated from complex survey data. It turns out that this method also greatly simpli?es the calculations for the i.i.d. case when compared to previous...

We consider both a parametric and a semiparametric method to account for classification errors on the dependent variable in an ordered response model. The methods are applied to the analysis of self-reported speaking fluency of male immigrants in Germany. We find that a parametric model which...

Applying a method suggested by Woodruff (1971), we derive the sampling variances of Generalized Entropy and Atkinson inequality indices when estimated from complex survey data. It turns out that this method also greatly simplifies the calculations for the i.i.d. case when compared to previous...