Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
We study kmeans clustering estimation of panel data models with a latent group structure and N units and T time periods under long panel asymptotics. We show that the group-specific coefficients can be estimated at the parametric NT-rate even if error variances diverge as T→∞ and consequently some units are asymptotically misclassified. This limit case approximates empirically relevant settings and is not covered by existing asymptotic results.