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Identifying Individual and Group Effects in the Presence of Sorting: A Neighborhood Effects Application

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NBER2006-05-01 更新2025-01-04 收录
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Researchers have long recognized that the non-random sorting of individuals into groups generates correlation between individual and group attributes that is likely to bias nave estimates of both individual and group effects. This paper proposes a non-parametric strategy for identifying these

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2006-05-01
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