NBER Working Papers 15057
June 2009
Abstract
In this paper, we illustrate a methodology to measure discrimination in educational contexts. In India,
we ran an exam competition through which children compete for a large financial prize. We recruited
teachers to grade the exams. We then randomly assigned child “characteristics” (age, gender, and caste)
to the cover sheets of the exams to ensure that there is no systematic relationship between the characteristics
observed by the teachers and the quality of the exams. We find that teachers give exams that are assigned
to be lower caste scores that are about 0.03 to 0.09 standard deviations lower than exams that are assigned
to be high caste. The effect is small relative to the real differences in scores between the high and
lower caste children. Low-performing, low caste children and top-performing females tend to lose
out the most due to discrimination. Interestingly, we find that the discrimination against low caste
students is driven by low caste teachers, while teachers who belong to higher caste groups do not appear
to discriminate at all. This result runs counter to the previous literature, which tends to find that individuals
discriminate in favor of members of their own groups.
Citation
Hanna, Rema, and Leigh Linden. "Measuring Discrimination in Education." NBER Working Papers 15057, June 2009.