Diese Dissertation besteht aus zwei Teilen, die durch eine Einleitung zu Auktions- und Oligopolmärkten und durch eine kurze Diskussion über die erzielten Resultate am Ende der Arbeit miteinander verbunden sind. Der erste Teil diskutiert die Literatur zu Auktionen und analysiert das Verhalten...

This paper examines empirically the relationship between innovation and market structure within a simultaneous framework at the industry level of aggregation. We use a model in which R&D affects both, demand and cost conditions. An optimization process leads to optimal industry R&D expenditure...

Unlike previous analyses, we consider (i) that IT may affect productivity growth both directly and indirectly, through human capital interactions, and (ii) possible externalities in the use of IT. Examining, hypothetically, the statistical consequences of erroneously disregarding (i) and (ii) we...

This paper examines empirically the relationship between innovation and market structure within a simultaneous framework at the industry level of aggregation. We use a model in which R&D affects both, demand and cost conditions. An optimization process leads to optimal industry R&D expenditure...

Unlike previous analyses, we consider (i) that IT may affect productivity growth both directly and indirectly, through human capital interactions, and (ii) possible externalities in the use of IT. Examining, hypothetically, the statistical consequences of erroneously disregarding (i) and (ii) we...

This paper examines empirically the relationship between innovation and market structure within a simultaneous framework at the industry level of aggregation. We use a model in which R&D affects both, demand and cost conditions. An optimization process leads to optimal industry R&D expenditure...

Brockman and Turtle [J. Finan. Econ., 2003, 67, 511-529] develop a barrier option framework to show that default barriers are significantly positive. Most implied barriers are typically larger than the book value of corporate liabilities. We show theoretically and empirically that this result is...

In this work we propose Monte Carlo simulation models for dynamically computing MaxVaR for a financial return series. This dynamic MaxVaR takes into account the time-varying volatility as well as non-normality of returns or innovations. We apply this methodology to five stock market indices. To...

We propose an approach to the estimation of the parameters of stochastic discount factor (SDF) models which is based on the idea that the next period joint distribution of the variables in a SDF and asset returns can be well approximated by their joint historical distribution. The estimates of...