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- W3213089257 abstract "We identify and estimate the effects of student-level social spillovers on standardized test performance in New York City (NYC) elementary schools. We leverage student demographic data to construct within classroom social networks based on shared student characteristics, such as a gender or ethnicity. Rather than aggregate shared characteristics into a single network matrix, we specify additively separate network matrices for each shared characteristic and estimate city-wide peer effects for each one. Conditional on sharing a classroom, we find that the most important student peer effects are shared ethnicity, gender, and primary language spoken at home. Identification of the model is discussed." @default.
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- W3213089257 date "2021-11-01" @default.
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- W3213089257 title "What Makes a Classmate a Peer?Examining Which Peers Matter in NYC Elementary Schools Abstract" @default.
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