Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
A positive correlation between insurance coverage and ex post risk indicates private information in insurance markets. However, this test fails if agents have heterogeneous risk attitudes. We propose a finite mixture model that conditions on unobserved types who differ in their risks preferences and detects asymmetric information even if heterogeneous risk attitudes exist. Our method identifies the existence of private information, without using direct evidence of private information.