We develop an algorithm for detecting teacher cheating that combines information on unexpected test score fluctuations and suspicious patterns of answers for students in a classroom.Using data from the Chicago Public Schools, we estimate that serious cases of teacher or administrator cheating on standardized tests occur in a minimum of 4-5 percent of elementary school classrooms annually. Moreover, the observed frequency of cheating appears to respond strongly to relatively minor changes in incentives. Our results highlight the fact that incentive systems, especially those with bright line rules, often induce behavioral distortions such as cheating.Statistical analysis, however, may provide a means of detecting illicit acts, despite the best attempts of perpetrators to keep them clandestine.
Robin Tepper and seminar participants at various institutions for helpful comments and suggestions. Jenny Huang provided excellent research assistance. Funding for this research was provided by the Spencer Foundation. All remaining errors are my own. The views expressed herein are those of the author and not necessarily those of the National Bureau of Economic Research.
Nearly 60 percent of college students today are women. Using longitudinal data on a nationally representative cohort of eighth grade students in 1988, I examine two potential explanations for the differential attendance rates of men and women-returns to schooling and non-cognitive skills. The attendance gap is roughly five percentage points for all high school graduates. Conditional on attendance, however, there are few differences in type of college, enrollment status or selectivity of institution. The majority of the attendance gap can be explained by differences in the characteristics of men and women, despite some gender differences in the determinants of college attendance. I find that higher non-cognitive skills and college premiums among women account for nearly 90 percent of the gender gap in higher education. Interestingly, non-cognitive factors continue to influence college enrollment after controlling for high school achievement.
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