Constructing predictive models and then comparing them with actual test scores reveals that half of what is determining whether a student gets into college or not is unexplained. GSEM Professor Caterina Calsamiglia asks if more tests are needed to get a better prediction, or if the information that has already been collected can be used in a wiser way.
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Prof. Caterina Calsamiglia is a Visiting Professor of Applied Econometrics at the GSEM’s Institute of Economics and Econometrics, and her research focuses on market design and public policy design, with a particular interest in education.
The Geneva School of Economics and Management (GSEM) of the University of Geneva is more than a leading Swiss business school. Building on a history of over 100 years, GSEM’s mission is to educate responsible leaders for a diverse and changing society. About 2’000 students are enrolled in GSEM’s state-of-the-art undergraduate, graduate, and executive programs in management, economics, finance, business analytics, statistics, and information systems. Focusing on the interdisciplinary areas of analytics/digital, governance, and sustainability, GSEM benefits from a “Geneva Advantage” – its unique location in Geneva, a region that is home to many international organizations, non-profit organizations, multinational corporations, and financial institutions, together with its dedicated staff of about 200, including 60 internationally recognized faculty members.
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