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We explore the extent to which schools manipulate the composition of students in the test-taking pool in order to maximize ratings under Texas' accountability system in the 1990s. We first derive predictions from a static model of administrators' incentives given the structure of the ratings criteria, and then test these predictions by comparing differential changes in exemption rates across student subgroups within campuses and across campuses and regimes. Our analyses uncover evidence of a moderate degree of strategic behavior, so that there is some tension between designing systems that account for heterogeneity in student populations and that are manipulation-free.

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We conduct the first nationwide study of incentives under the No Child Left Behind (NCLB) Act, which requires states to punish schools failing to meet target passing rates on students' standardized exams. States' idiosyncratic policies created variation in the risk of failure among very similar schools in different states, which we use to identify effects of accountability pressure. We find NCLB lowers teachers' perceptions of job security, shifts time towards specialist teachers in high-stakes subjects and away from whole-class instruction, and has positive or neutral effects on students' enjoyment of learning and achievement in reading, math, and science. (JEL H52, H75, I21, I28, J45)