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We develop and estimate an equilibrium model of study time choices of students on a social network. We examine how network structure interacts with student characteristics to affect academic achievement. Due to data limitations, few papers examine the mechanisms through which peer effects...
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We develop and estimate a model of study time choices of students on a social network. The model is designed to exploit unique data collected in the Berea Panel Study. Study time data allow us to quantify an intuitive mechanism for academic social interactions: own study time may depend on...
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