infonet-economy

In the neoclassical model of consumer behavior, considerable work has been done investigating when a consumer's demand behavior can be described as having been derived from utility maximization. However, most discussions are in a certainty world. We expand on prior analyses in an uncertainty setting by providing conditions under which contingent claim and asset demands will be...

This study provides experimental evidence, using a large sample of 2894 individuals recruited via business media websites, about the impact of demographic attributes within entrepreneurial teams on funding decisions by external capital providers. In previous work the role of diversity with regard to personal characteristics within entrepreneurial teams, such as education, gender and...

In this paper we study the coevolutionary dynamics of knowledge creation, diffusion and the formation of R&D collaboration networks. Differently to previous works, knowledge is not treated as an abstract scalar variable but represented by a portfolio of ideas that changes over time through innovations and knowledge spillovers between collaborating firms. The collaborations...

External circumstances and internal bodily states often change and require organisms to flexibly adapt valuation processes to select the optimal action in a given context. Here, we investigate the neurobiology of context-dependent valuation in 22 human subjects using functional magnetic resonance imaging. Subjects made binary choices between visual stimuli with three attributes (...

This paper empirically examines the theoretically ambivalent relationship between socially responsible investing (SRI) and stock performance. It contributes to the existing literature by considering both the US and the entire European stock markets and by using consistent world-wide corporate sustainability performance data. Our portfolio analysis from 1998 to 2009 is based on the...

We introduce matched-filter fMRI, which improves BOLD (blood oxygen level dependent) sensitivity by variable-density image acquisition tailored to subsequent image smoothing. Image smoothing is an established post-processing technique used in the vast majority of fMRI studies. Here we show that the signal-to-noise ratio of the resulting smoothed data can be substantially increased by...