In content- and knowledge-based recommender systems often a measure of (dis)similarity between items is used. Frequently, this measure is based on the attributes of the items. However, which attributes are important for the users of the system remains an important question to answer. In this...

Human values drive different kinds of abstract behaviour, while established value scales are pervasive in survey research. We focus on analyzing the relationship between human values and voting in elections, introducing a new methodology to analyze how value profiles relate to political support...

Overconfidence has been proposed as an explanation for excess market entry by entrepreneurs and low returns in entrepreneurial activities. However, establishing that entrepreneurs are more overconfident than non-entrepreneurs requires the use of representative population samples; in addition,...

Nonmetric unfolding is a powerful (nonparametric) analytical tool generating a preference-based joint display of subjects (e.g., customers) and objects (e.g., brands or products). Systematic patterns in customers' preferences can be directly inferred from this display, and may provide valuable...

Many content-based recommendation approaches are based on a dissimilarity measure based on the product attributes. In this paper, we evaluate four dissimilarity measures for product recommendation using an online survey. In this survey, we asked users to specify which products they considered to...

In content- and knowledge-based recommender systems often a measure of (dis)similarity between products is used. Frequently, this measure is based on the attributes of the products. However, which attributes are important for the users of the system remains an important question to answer. In...

Twin and adoption studies have consistently found that genetic variation is an important source of heterogeneity in economic outcomes such as educational attainment and income. The advent of inexpensive, genome-wide scans is now making it increasingly feasible to directly examine specific...

Perceptual maps are often used in marketing to visually study relations between two or more attributes. However, in many perceptual maps published in the recent literature it remains unclear what is being shown and how the relations between the points in the map can be interpreted or even what a...

Various ways of extracting macroeconomic information from a data-rich environment are compared with the objective of forecasting yield curves using the Nelson-Siegel model. Five issues in factor extraction are addressed, namely, selection of a subset of the available information, incorporation...