Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
This paper discusses the empirical identification of network effects in light of the reflection problem of Manski. I argue that models of indirect network effects present reasonable exclusion restrictions to address the challenges of the reflection problem.