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- W3124818720 abstract "We build a multidimensional value added model to analyze jointly the test scores on several outcomes. Using a unique Colombian data set on higher education within a seemingly unrelated regression equations (SURE) framework we estimate school outcome specific value added indicators. These are used to measure the relative contribution of the school on a certain outcome, which may serve as an internal accountability measure. Apart from the evident estimation efficiency gains, a joint value added analysis is preferable to the unidimensional one. First, unless modeled in a multidimensional framework, the comparison of value added estimates for different outcomes within a school is not well defined; our model circumvents this issue. Second, even in the case of a separate major field of study analysis there still exists unobserved heterogeneity due to institutional diversity. This makes it more compelling to employ a rich set of outcomes in computing value added indicators. In the end, we aggregate the outcome-specific value added estimates to produce a composite value added index that reflects the combined value added contribution of all the subjects for each school." @default.
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- W3124818720 date "2015-10-21" @default.
- W3124818720 modified "2023-09-27" @default.
- W3124818720 title "Higher Education Value Added Using Multiple Outcomes" @default.
- W3124818720 hasPublicationYear "2015" @default.
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