Treatment Effect Accounting for Network Changes

A-Tier
Journal: Review of Economics and Statistics
Year: 2021
Volume: 103
Issue: 3
Pages: 597-604

Authors (2)

Score contribution per author:

2.018 = (α=2.02 / 2 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

Networks may rewire in response to interventions. We propose a measure of the treatment effect when an intervention affects the structure of a social network. We develop a treatment-response model that incorporates dynamic peer effects and provide its identification conditions and the associated instrumental-variable strategy. We illustrate our estimation procedure using a panel data set containing information on a financial network before and after a field experiment that randomized access to savings accounts. Results show that neglecting the network change results in underestimation of the impact of the intervention and the role played by informal networks through which the intervention diffuses.

Technical Details

RePEc Handle
repec:tpr:restat:v:103:y:2021:i:3:p:597-604
Journal Field
General
Author Count
2
Added to Database
2026-01-25