Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
Students' evaluations of teacher performance (SETs) are increasingly used by universities. However, SETs are controversial mainly due to two issues: (1) teachers value various aspects of excellent teaching differently, and (2) SETs should not be determined on exogenous influences. Therefore, this paper constructs SETs using a tailored version of the non-parametric Data Envelopment Analysis approach. In particular, we account for different values and interpretations that teachers attach to 'good teaching'. Moreover, we reduce the impact of measurement errors and a-typical observations, and account explicitly for heterogeneous background characteristics arising from teacher, student and course characteristics.