The authors of this study develop and estimate a joint model of the education and
teacher-expectation production functions that identifies both the
distribution of biases in teacher expectations and the impact of those
biases on student outcomes via self-fulfilling prophecies. Their approach
leverages a unique feature of a nationally representative dataset: two
teachers provided their educational expectations for each student.
Identification of causal effects exploits teacher disagreements about
the same student, an idea they formalize using lessons from the
measurement error literature.
The authors provide novel, arguably causal
evidence that teacher expectations affect students' educational
attainment: Estimates suggest an elasticity of college completion with
respect to teachers' expectations of about 0.12. On average, teachers
are overly optimistic about students' ability to complete a four-year
college degree.
However, the degree of over-optimism of white teachers
is significantly larger for white students than for black students. This
highlights a nuance that is frequently overlooked in discussions of
biased beliefs: less biased (i.e., more accurate) beliefs can be
counterproductive if there are positive returns to optimism or if there
are socio-demographic gaps in the degree of teachers' optimism; the authors find
evidence of both.
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