The bootstrap is a method for estimating the distribution of an estimator or test statistic by resampling one’s data or a model estimated from the data. The methods that are available for implementing the bootstrap and the accuracy of bootstrap estimates depend on whether the data are a random...

How risky are investments in residential real estate? To answer this question, information is needed about the behavior of house prices. The hedonic methodology has become a standard approach for modelling the prices of heterogeneous assets. Although intuitively appealing, it is often criticized...

In a meta study of 25 political stock markets conducted in Germany in the last decade we analyze their predictive success. Although the predictions of political stock markets are highly correlated with the corresponding polls, the markets are able to aggregate additional information. One...

This paper examines the relationship between unemployment, real oil price and real interest rates in Canada. Instead of following the classical approach based on I(0) stationarity or I(1) cointegrating relationships, we use fractional integration/cointegration techniques which allow for the...

Electronic Commerce environments increasingly witness a conflict on the subject of e-privacy: While marketers want to maximize their customer knowledge and grasp the identity of their online users, consumers often want to stay anonymous and not reveal private information. The conflict suggests...

The problem of selecting a clustering algorithm from the myriad of algorithms has been discussed in recent years. Many researchers have attacked this problem by using the concept of admissibility (e.g. Fisher and Van Ness, 1971, Yadohisa, et al., 1999). We propose a new criterion called the...

This paper discusses the admissibility of agglomerative hierarchical clustering algorithms with respect to space distortion and monotonicity, as defined by Yadohisa et al. and Batagelj, respectively. Several admissibilities and their properties are given for selecting a clustering algorithm....

A user interface is one of the most important factor's for deciding the usefulness of a statistical system. Nowadays, a graphical user interface (GUI) is popular because it is easy and intuitive to use. A character user interface (CUI) is, however, still important for using full abilities of the...

In this paper, we consider simple and easy distributed computing abilities of the statistical system TISAS (TIme Series Analysis Supporting System). TISAS was mainly "'written in the Tcl / Tk language, and was designed for utilizing full merits of a GUI (Graphical User Interface). We add...

The authors develop and test a model to study the influence of inventory-on-hand and price-based reference points on the consumption rate of consumers. The model is motivated by recent theoretical and empirical research which suggests inventory pressure can cause consumers to increase...