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1 – 10 of 94Esfandiar Maasoumi and Le Wang
Building on recent advances in inverse probability weighted identification and estimation of counterfactual distributions, the authors examine the history of wage earnings for…
Abstract
Building on recent advances in inverse probability weighted identification and estimation of counterfactual distributions, the authors examine the history of wage earnings for women and their potential wage distributions in the United States. These potentials are two counterfactuals, what if women received men’s market “rewards” for their own “skills,” and what if they received the women’s rewards but for men’s characteristics? Using the Current Population Survey data from 1976 to 2013, the authors analyze the entire counterfactual distributions to separate the “structure” and human capital “composition” effect. In contrast to Maasoumi and Wang (2019), the reference outcome in these decompositions is women’s observed earnings distribution, and inverse probability methods are employed, rather than the conditional quantile approaches. The authors provide decision theoretic measures of the distance between two distributions, to complement assessments based on mean, median, or particular quantiles. We assess uniform rankings of alternate distributions by tests of stochastic dominance in order to identify evaluations robust to subjective measures. Traditional moment-based measures severely underestimate the declining trend of the structure effect. Nevertheless, dominance rankings suggest that the structure (“discrimination”?) effect is bigger than human capital characteristics.
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Sadia Samar Ali, Rajbir Kaur and Jose Antonio Marmolejo Saucedo
Nina Hasche and Gabriel Linton
The study aims to examine the development of student venture creation in a co-curricular business model lab initiative with collaboration between students, researchers, technology…
Abstract
Purpose
The study aims to examine the development of student venture creation in a co-curricular business model lab initiative with collaboration between students, researchers, technology transfer offices (TTO) and industry. It presents a fresh approach to the study of student venture creation by discussing a unique co-curricular case, its embeddedness in a network and drawing on the concept of tension.
Design/methodology/approach
A qualitative, case-based research design is applied containing data from interviews, observations and active participation.
Findings
The findings point to the inherent difficulties in managing and organizing student venture creation and networks surrounding the student venture creation in a co-curricular setting that can lead to several different types of tensions. Episodes where task-, role-, process-, affective- and value-related tensions arise are identified. Furthermore, the findings highlight that affective-related tension is often an outcome of other types of tensions.
Research limitations/implications
Our theoretical implications point to the importance of the context of student venture creation, but not only regarding curricular and co-curricular initiatives; depending on the context, such as if student surrogate entrepreneurship is used, different types of support structure might also be needed to enable student venture creation.
Originality/value
Research on the entrepreneurial university has mainly focused on entrepreneurship education and ventures created by researchers. This study responds to recent calls for research on the venture creation of students. The limited research conducted on student venture creation can be divided between curricular and co-curricular initiatives. Our research points out that many other contextual factors are of importance, such as the origin of ideas, student surrogate entrepreneurship, industry collaboration, team formation and expectations.
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