Identification of Peer Effects using Panel Data

• Tác giả: Marisa Miraldo, Carol Propper, Christiern Rose
• Ngôn ngữ: eng
• Ký hiệu phân loại: 155.92 Influence of social environment
• Thông tin xuất bản: 2021
• Bộ sưu tập: Metadata
• ID: 167681

Tóm tắt

We provide new identification results for panel data models with peer effects operating through unobserved individual heterogeneity. The results apply for general network structures governing peer interactions and allow for correlated effects. Identification hinges on a conditional mean restriction requiring exogenous mobility of individuals between groups over time. We apply our method to surgeon-hospital-year data to study take-up of keyhole surgery for cancer, finding a positive effect of the average individual heterogeneity of other surgeons practicing in the same hospital