This paper considers estimation of the regression function and its derivatives in nonparametric regression with fractional time series errors. We focus on investigating the properties of a kernel dependent function V (delta) in the asymptotic variance and finding closed form formula of it, where...

In einem Ein-Perioden-Modell werden die Auswirkungen des deutschen Steuerrechts zur Kapitalbesteuerung auf das Kapitalmarktgleichgewicht untersucht. Dabei modellieren wir sowohl einen Unternehmenssektor, der der Körperschaftsteuer unterliegt, als auch Privatinvestoren, die...

This paper considers simultaneous modelling of seasonality, slowly changing un- conditional variance and conditional heteroskedasticity in high-frequency fiancial returns. A new approach, called a seasonal SEMIGARCH model, is proposed to perform this by introducing multiplicative seasonal and...

This paper investigates the use of price intensities to estimate volatilities based on high-frequency data. We interpret the conditional probability for the occurence of a price event within a certain time horizon as a risk measure which allows us to obtain an estimator of the conditional...

The problem of predicting 0-1-events is considered under general conditions, including stationary processes with short and long memory as well as processes with changing distribution patterns. Nonparametric estimates of the probability function and prediction intervals are obtained.

Der Gesetzgeber laesst im Handelsgesetzbuch (HGB) zahlreiche mathematisch-statistische Stichprobenverfahren zur Inventur zu. Die dort vorgeschriebenen Richtlinien finden auch in anderen Sparten der Wirtschaftsprüfung bei statistischen Hochrechnungen Verwendung. Eigentuemliche Vorstellungen...

This paper presents structural estimates for a bargaining model which nests the right-to-manage, the efficient wage bargaining, the seniority and the standard neo- classical labor demand model as special cases. In contrast to most existing models, our approach accounts for heterogeneous skill...

When making decisions, agents tend to make use of decisions others have made in similar situations. Ignoring this behavior in empirical models can be interpreted as a problem of omitted variables and may seriously bias parameter estimates and harm inference. We suggest a possibility of...