Data for: Technical efficiency in Chile’s higher education system: A comparison of Rankings and Accreditation

Data envelopment analysis (DEA) has been widely applied to measure efficiency in universities, sometimes focused on teaching or research. Universities function as a complex production process in which teaching and research are linked in the internal structure, share some inputs, and continue across multiple periods.

To deal with this complexity, we developed a new DEA model that incorporates network structures, carryover activities, and shared inputs in a dynamic approach. We applied this model to a set of 33 Chilean universities and compared the results to their rankings and accreditation status. Our proposed DEA model has advantages: (a) there are no subjective criteria, and (b) the model considers the internal structure of the university production model, as well as the inputs and outputs over time.