Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
We propose to reduce asymptotic biases of simulated maximum likelihood estimators (SMLE) by using a jackknife method similar to Dhaene and Jochmans (2015). Because the jackknife method does not require an explicit characterization of the bias, it may be a practically attractive alternative to Lee’s (1995) estimator.