Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
Tests for heteroskedasticity in the classical linear regression framework typically require the researcher to specify the form of variance heterogeneity. This paper proposes a simulation-based test with power to detect unspecified forms of heteroskedasticity.