preferences beyond the classical concept of expected utility theory. The thesis contains four main chapters.The first two chapters … dependence compared to classical models of expected utility theory. It is shown that some empirical puzzles concerning … utility theory are met. It is shown that the methodological concerns are empirically relevant when a classification of …

likelihood solutions with confidence limits. As a test case, the Law of Categorical Judgment (Corrected) was fitted with the … sets simulated for Full Signal Detection Theory and its special cases of standard Signal Detection Theory and Complementary … Signal Detection Theory. …

This doctoral thesis investigates the influence of overconfidence on the outcomes in experimental asset markets, both … that is later used in economic experiments to measure subjects’ overconfidence. The second part investigates the role of … market overconfidence in the occurrence of bubbles in asset prices and the emergence of other stylized facts of financial …

' future expectations: (1) forecasts of future price, and (2) subjective confidence of future stock price, which includes 50 …%, 70% and 90% confidence intervals. Past volatility has a weak effect on future forecasts that are sensitive to minor …' confidence and improves forecast accuracy. The calibration of the confidence intervals was not affected by the stocks' volatility …

Persönlichkeitsmerkmale Overconfidence und Optimismus von Führungskräften auf ihre Kapitalstrukturentscheidungen wird empirisch untersucht …). Demnach wählen Manager mit Overconfidence und Optimismus höhere Fremdkapitalquoten und kürzere Fristigkeiten. Sie beschränken … bestätigen den Einfluss von Overconfidence von Finanzvorständen auf ihre Kapitalstrukturentscheidungen. Die Overconfidence des …

-causes volatility without feedback. These results are broadly consistent with behavioral models like the overconfidence and biased self …

as to the acceptability of spatial aggregation in hedonic property value models. Both statistical tests and tests based … upon prediction errors are performed in order to identify the circumstances under which aggregation is statistically … importance of specification and functional form as determinants of both the acceptability of aggregation and predictive power …

Model induction from relational data requires aggregation of values ofattributes of related entities. This paper makes … needed to learn these concepts. (2) Expanding onelevel of the hierarchy, it introduces new aggregation operators thatmodel … byclass. (3) It demonstrates empirically on a noisy business domain thatmore-complex aggregation methods can increase …