Testing for peer effects in short panels without identifying the network structure
The paper proposes an instrument-based test to detect peer effects in short-panel data when the underlying network structure is unknown. The test statistic aggregates pairwise comparisons of covariate-projected outcomes against residualized own outcomes. It provides a robust framework for testing peer effects under various complex modeling conditions, offering reliable inference without requiring prior knowledge of the social network.