Bayesian networks and the assessment of universities' value added |
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| Authors: | F Cugnata G Perucca S Salini |
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| Institution: | 1. University Centre of Statistics for Biomedical Sciences (CUSSB), Vita-Salute San Raffaele University, Milan, Italy;2. Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, Milan, Italy;3. Department of Economics, Management and Quantitative Methods, University of Milan, Milan, Italy |
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| Abstract: | A broad literature focused on the effectiveness of tertiary education. In classical models, a performance indicator is regressed on a set of characteristics of the individuals and fixed effects at the institution level. The FE coefficients are interpreted as the pure value added of the universities. The innovative contribution of the present paper resides in the use of Bayesian network (BN) analysis to assess the effectiveness of tertiary education. The results of an empirical study focused on Italian universities are discussed, to present the use of BN as a decision support tool for policy-making purposes. |
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| Keywords: | VAM models economics of education casual models do-calculus |
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