
Abstract This paper contrasts measures of teacher effectiveness with the students’ evaluations for the same teachers using administrative data from Bocconi University. The effectiveness measures are estimated by comparing the performance in follow-on coursework of students who are randomly assigned to teachers. We find that teacher quality matters substantially and that our measure of effectiveness is negatively correlated with the students’ evaluations of professors. A simple theory rationalizes this result under the assumption that students evaluate professors based on their realized utility, an assumption that is supported by additional evidence that the evaluations respond to meteorological conditions.
teacher quality, postsecondary education, 330, ddc:330, POSTSECONDARY EDUCATION, STUDENTS' EVALUATIONS, TEACHER QUALITY, ECONOMICS AND ECONOMETRICS, Hochschullehrer, Italien, 650, Arbeitsleistung, Verhaltensökonomik, postsecondary education, Bewertung, I20, Studierende, Bildungsniveau, teacher quality, jel: jel:I20, ddc: ddc:650, ddc: ddc:330
teacher quality, postsecondary education, 330, ddc:330, POSTSECONDARY EDUCATION, STUDENTS' EVALUATIONS, TEACHER QUALITY, ECONOMICS AND ECONOMETRICS, Hochschullehrer, Italien, 650, Arbeitsleistung, Verhaltensökonomik, postsecondary education, Bewertung, I20, Studierende, Bildungsniveau, teacher quality, jel: jel:I20, ddc: ddc:650, ddc: ddc:330
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 299 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
