We formalize a noted [Guryan et al., 2009] but unexplored source of bias in peer effect estimation, arising because people cannot be their own peer. We derive, for linear-in-means models with non-overlapping peer groups, an exact formula of the bias in a test of random peer assignment. We...

This paper studies asymmetry of information and transfers within a unique data set of 712 extended family networks from Tanzania. Using cross-reports on asset holdings, we construct measures of misperception of income among all pairs of households belonging to the same network. We show that...